Tag: Python

AutoGPT: The Game Changer in Artificial Intelligence and Autonomous Agents

Auto-GPT is a revolutionary technology that unleashes new abilities for ChatGPT, enabling it to complete tasks all by itself, creating its own prompts to get the job done. AutoGPT, a groundbreaking artificial intelligence (AI) model, has taken the world by storm with its ability to provide large language models with “arms and hands” for task execution based on specific goals. This state-of-the-art technology has captured the attention of open-source developers and has the potential to revolutionize the AI landscape. For those who may not be familiar with AutoGPT, this article will provide an in-depth overview of this innovative AI model, its key features, and its impact on industries and applications.

The buzz around Auto-GPT has recently surpassed ChatGPT itself, trending as number one on Twitter for several days in a row.

How AutoGPT works?

AutoGPT works by utilizing the GPT-4 language model as its core intelligence to automate tasks and perform web searches. To use AutoGPT, you need to provide three inputs:

  1. AI Name: A name for the AI instance.
  2. AI Role: A description of the AI’s purpose.
  3. Up to 5 goals: Specific tasks you want the AI to accomplish.

Once these inputs are provided, AutoGPT starts working on the assigned goals. It may search the internet, extract information, or perform other necessary actions to complete the tasks.

AutoGPT also features long and short-term memory management, allowing it to learn from past experiences and make better decisions based on context. This is achieved through its integration with vector databases for memory storage. Additionally, unlike ChatGPT, AutoGPT has internet access, which enables it to fetch relevant information from the web as needed. Furthermore, it can manipulate files, access, and extract data from them, and summarize the information if required.

Follow 3 examples of how AutoGPT works:

1 – Market Research on Headphones: AI Name: ResearchGPT AI Role: An AI designed to conduct market research on tech products.

Goal 1: Do market research for different headphones on the market today. Goal 2: Get the top 5 headphones and list their pros and cons. Goal 3: Include the price of each one and save the analysis. Goal 4: Once you are done, terminate.

Auto-GPT will search the internet, find information on various headphones, list the top 5 headphones with their pros, cons, and prices, save the analysis, and terminate once the task is complete.

2 – Create FAQs for a Product: AI Name: FAQGPT AI Role: An AI designed to create FAQs for products.

Goal 1: Research a new smartphone model and its features. Goal 2: Create a list of 10 frequently asked questions about the smartphone. Goal 3: Provide clear and concise answers to the FAQs. Goal 4: Save the FAQs in a text file. Goal 5: Once you are done, terminate.

In this case, AutoGPT will research the specified smartphone model, create a list of FAQs, answer them, save the information in a text file, and terminate after completing the task.

3 – Writing a Python Program: AI Name: CodeGPT AI Role: An AI designed to write simple Python programs.

Goal 1: Write a Python program that calculates the factorial of a given number. Goal 2: Test the program with sample inputs and ensure it works correctly. Goal 3: Save the Python code in a .py file. Goal 4: Once you are done, terminate.

AutoGPT will generate the Python code to calculate the factorial of a given number, test it with sample inputs, save the code in a .py file, and terminate upon completion.

Keep in mind that AutoGPT might not always be perfect in completing the assigned tasks, as its performance depends on the accuracy and limitations of the GPT-4 model it is built upon.

AutoGPT boasts several key features that set it apart from its predecessors

  1. Dynamic learning: AutoGPT is designed to adapt to new data, making it an ever-evolving conversational AI model that stays up-to-date with the latest information and trends.
  2. Enhanced context awareness: AutoGPT’s understanding of context and user intent has been fine-tuned to provide more accurate and relevant responses.
  3. Customization capabilities: AutoGPT can be tailored to specific industries and applications, making it a versatile tool for many use cases.

AutoGPT’s Impact on Industries and Applications

The innovative features of AutoGPT are transforming various sectors through a wide range of applications:

  1. Personalized marketing: AutoGPT creates targeted marketing campaigns by continuously learning from user data and preferences.
  2. Sentiment analysis: AutoGPT accurately gauges user sentiment, providing valuable insights for businesses to improve customer experiences.
  3. Real-time adaptation: AutoGPT adapts to changing market conditions and trends, ensuring AI-powered solutions remain relevant and practical.
  4. Automation of complex tasks: AutoGPT’s self-improvement capabilities make it suitable for automating intricate tasks and streamlining processes across industries.

Integration of AutoGPT with advanced conversational AI models like BabyAGI, AgentGPT, and Microsoft’s Jarvis unlocks the full potential of AI and revolutionizes human-technology interactions. These AI models are transforming the world by enabling innovative applications across industries, such as enhanced customer support, improved content generation, seamless language translation, virtual personal assistants, healthcare applications, education and training, and human resources management.

AutoGPT also has a number of limitations, such as:

  1. Imperfect accuracy: AutoGPT is built upon the GPT-4 language model, which, although a significant improvement over GPT-3.5, is still not 100% accurate. Errors in the generated output might require further steps to resolve or could lead to an inability to complete the assigned task.
  2. Looping issues: While working on a task, AutoGPT may get stuck in a loop trying to find solutions to errors or problems. This can cause delays and increase costs, as the GPT-4 API usage fees can become expensive.
  3. Cost: The GPT-4 API, which Auto-GPT relies on, is more expensive than the GPT-3.5 API. The costs can quickly add up, especially if the AI is stuck in a loop or takes multiple steps to accomplish a task.
  4. Not production-ready: AutoGPT is not yet considered a production-ready solution. Users have reported that it often does not complete projects or only partially solves tasks. It requires further refinement and development before it can be relied upon as a complete, dependable solution.
  5. Task-specific limitations: AutoGPT might perform well for relatively simple and straightforward tasks, but it could struggle with more complex tasks or tasks requiring specialized knowledge. Its capabilities are limited by the underlying GPT-4 model and its ability to understand and solve a given problem.

These limitations should be taken into consideration when using AutoGPT, as it may not be suitable for all use cases or provide flawless results.

There are two methods for utilizing and evaluating AutoGPT

The first one is to download and install in our computer the AutoGPT source code from GitHub. Follow the instruction above. This maybe requires technical knowledge.

https://github.com/Significant-Gravitas/Auto-GPT/releases/latest

The second one involves utilizing a version I have deployed for direct access in your browser via this link and having fun!

You must input the name and goal, then click on “Deploy Agent.” Entering your OpenAI key is required. If you don’t possess one, I provide five tasks per goal at no cost.

Following this, the agent will commence processing.

The interactions will be divided into separate tasks.

Upon completing the five tasks, AutoGPT will cease operation. To run more than five tasks, you must input your OpenAI Key.

To deploy it yourself, click on this link and adhere to the provided guidelines.

Conclusion

AutoGPT is a game changer in the field of artificial intelligence and autonomous agents. Its dynamic learning, enhanced context awareness, and customization capabilities make it a powerful tool poised to revolutionize industries and applications. As AutoGPT continues to evolve and integrate with other advanced conversational AI models, the potential for AI to enhance and streamline various aspects of our lives grows exponentially. The future of AI is undoubtedly bright, with AutoGPT leading the way.

Additionally, I’ve developed a section on my blog dedicated to my Generative AI projects. You can view the screenshot below.

picture capture from my blog

That’s it for today!

Follow below some interesting articles talking about AutoGPT:

https://www.linkedin.com/pulse/what-auto-gpt-next-level-ai-tool-surpassing-chatgpt-bernard-marr/

https://en.wikipedia.org/wiki/Auto-GPT

https://levelup.gitconnected.com/autogpt-is-taking-over-the-internet-here-are-the-incredible-use-cases-that-will-blow-your-mind-ac31ea94e06e

THE RISE OF AUTONOMOUS AGENTS: PREPARING FOR THE AI REVOLUTION

How to build an AI chatbot with personalized customer data using Open AI API and GPT Index

By harnessing the potential of AI-powered chatbots and personalized interactions, businesses can revolutionize their customer experience, fostering stronger relationships and driving customer loyalty. Implementing cutting-edge technologies like OpenAI API enables the creation of intelligent chatbots capable of understanding and adapting to individual customer needs, preferences, and concerns. As a result, customers receive tailored support, enjoy seamless interactions, and feel valued, significantly enhancing their overall experience. By prioritizing customer-centric innovation, businesses can position themselves as industry leaders and create lasting, positive impacts on customer satisfaction and brand reputation.

What are OpenAI API and GPT Index?

OpenAI API is a powerful tool provided by OpenAI, a leading AI research organization, that enables developers to access state-of-the-art AI models like GPT-4. GPT, which stands for Generative Pre-trained Transformer, is a groundbreaking language model that has revolutionized natural language processing (NLP) with its ability to generate human-like text.

The GPT Index is a catalog of fine-tuned models, allowing developers to pick and choose the most suitable model for their specific needs. By leveraging OpenAI API and the GPT Index, you can create AI chatbots that provide personalized customer experiences, enhancing user engagement and satisfaction.

How to Fine-tune with OpenAI API?

Fine-tuning is training a pre-trained AI model on a custom dataset to make it more suitable for a specific task or application. In the context of chatbots, this can involve training the model on customer interactions, preferences, and other relevant data. Here’s a step-by-step guide to fine-tuning the OpenAI API:

Gather your data: Collect customer data, including conversation transcripts, customer preferences, and other relevant information. Ensure that your data is cleaned and formatted for training.

Prepare your dataset: Split your data into training and validation sets. The training set will be used to fine-tune the model, while the validation set will help you evaluate the model’s performance.

Select a base model: Choose a suitable base model from the GPT Index, considering factors like size, performance, and language capabilities. The base model will serve as the foundation for your custom chatbot.

Fine-tune the model: Use the OpenAI API to fine-tune your selected model on your dataset. This involves uploading your dataset, specifying the base model, and setting the training parameters. The API will then train the model on your data, adjusting its weights and biases to understand better and generate personalized customer interactions.

Evaluate and iterate: Once the fine-tuning is complete, evaluate the model’s performance on the validation set. Adjust the training parameters and fine-tune the model to improve its performance if necessary.

Integrate the chatbot: After achieving satisfactory performance, integrate your fine-tuned AI chatbot into your desired platform, such as a website or a mobile app, and start providing personalized customer experiences.

Is it possible to fine-tune the new GPT-4 model?

The OpenAI GPT-4 model is anticipated to have the capability for task or domain-specific fine-tuning, akin to its predecessor, GPT-3. However, OpenAI has not yet disclosed the particulars of fine-tuning GPT-4. As the model undergoes further exploration and experimentation by researchers and developers, it is expected that more details about fine-tuning GPT-4 will be revealed in the future.

Let’s dive into my actual fine-tuning experiment.

I created an example training the Open AI API with two articles from my blog about ChatGPT, titled “How can you earn money with ChatGPT and Power BI?” and “Open AI released the new ChatGPT API” this week.” I used this site tool to convert my post contents into text and stored it on my GitHub page. You can add as many files as needed to train your model or easily convert this process to store into a database. If you want to open directly in Google Colab, click this link.

Python
#This is ro run in the Google Colab notebook and has all the code you need to create your own chatbot with custom knowledge base using GPT-3. 

#Follow the instructions for each steps and then run the code sample. In order to run the code, you need to press "play" button near each code sample.

#Download the data for your custom knowledge base
#For the demonstration purposes we are going to use ----- as our knowledge base. You can download them to your local folder from the github repository by running the code below.
#Alternatively, you can put your own custom data into the local folder.

! git clone https://github.com/LawrenceTeixeira/data_to_train.git

# Install the dependicies
#Run the code below to install the depencies we need for our functions


!pip install llama-index
!pip install langchain

# Define the functions
#The following code defines the functions we need to construct the index and query it


from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper, ServiceContext
from langchain import OpenAI
import sys
import os
from IPython.display import Markdown, display

def construct_index(directory_path):
    # set maximum input size
    max_input_size = 4096
    # set number of output tokens
    num_outputs = 2000
    # set maximum chunk overlap
    max_chunk_overlap = 20
    # set chunk size limit
    chunk_size_limit = 600 

    # define prompt helper
    prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)

    # define LLM
    llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="text-davinci-003", max_tokens=num_outputs))
 
    documents = SimpleDirectoryReader(directory_path).load_data()
    
    service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
    index = GPTSimpleVectorIndex.from_documents(documents, service_context=service_context)

    index.save_to_disk('index.json')

    return index

def ask_ai():
    index = GPTSimpleVectorIndex.load_from_disk('index.json')
    while True: 
        query = input("What do you want to ask? ")
        response = index.query(query)
        display(Markdown(f"Response: <b>{response.response}</b>"))

# Set OpenAI API Key
#You need an OPENAI API key to be able to run this code.

If you don't have one yet, get it by [signing up](https://platform.openai.com/overview). Then click your account icon on the top right of the screen and select "View API Keys". Create an API key.

#Then run the code below and paste your API key into the text input.


os.environ["OPENAI_API_KEY"] = input("Paste your OpenAI key here and hit enter:")

#Construct an index
#Now we are ready to construct the index. This will take every file in the folder 'data', split it into chunks, and embed it with OpenAI's embeddings API.

#*Notice:** running this code will cost you credits on your OpenAPI account ($0.02 for every 1,000 tokens). If you've just set up your account, the free credits that you have should be more than enough for this experiment.


construct_index("/content/data_to_train")

#Ask questions
#It's time to have fun and test our AI. Run the function that queries GPT and type your question into the input. 

#If you've used the provided example data for your custom knowledge base, here are a few questions that you can ask:
#1. What is the new API?
#2. ChatGPT is designed to handle what?
#3. What is BotGPT?
#4. Tell me what are the benefits of BotGPT?
#5. What the relations with Power BI and ChatGPT?
#6. How to make money with chatGPT and Power BI?

ask_ai()

Build AI chatbot with custom knowledge base using Open AI API and GPT index

Conclusion

Developing an AI chatbot that leverages personalized client information through the OpenAI API and GPT Index has the potential to transform customer experiences by providing customized interactions, education, and assistance. This solution offers numerous business prospects, including training models to comprehend a company’s areas of expertise, processes, policies, and protocols. By fine-tuning a model from the GPT Index with the OpenAI API, you can harness the power of AI to enhance user engagement and satisfaction, setting your business apart from the competition.

Embrace the world of AI chatbots and start providing a truly personalized experience for your customers today.

That’s it for today!

Here are the sources I used to create this article:

Open AI – Oficial Fine-tuning documentation

https://www.lennysnewsletter.com/p/i-built-a-lenny-chatbot-using-gpt

https://medium.datadriveninvestor.com/fine-tuning-gpt-3-for-helpdesk-automation-a-step-by-step-guide-516394df7f1

These 5 Tech Skills Will Be In Demand In 2023

With changing technology available in 2023, having a list to show you the top five tech skills in demand maximizes your chances of landing a good job. If you want to stay on the cutting edge of technological changes in the job market, these skills are a must-have to give you an edge over other people applying for jobs.

A blog article about the top in-demand tech skills for jobs in the future. It briefly describes all five skills and how you can hone them to be more marketable.

The skills that will have the most significant demand in 2023 are more than computers – an organization’s management has a big say in the skill set that their employees should know, and these skills can change from year to year. Find out what you need to add to your resume if you want to apply for one of the hottest jobs on the market!

With technology advancing rapidly, the skills needed to succeed in those fields are likewise shifting. And what are those skills? Let’s find out!

What Will Be Future Jobs In 2023?

In 2023, the most in-demand jobs will likely be in artificial intelligence (AI), big data, and cloud computing. These three areas are experiencing the most rapid growth and are expected to continue for the foreseeable future.

AI is already being used in various ways, such as to create personal assistant applications, improve search engine results, and target online ads. The potential uses for AI are virtually limitless, and as its capabilities continue to increase, so will the number of businesses and industries adopting it.

Big data is another area with a lot of potentials. Companies are just beginning to scratch the surface of what they can do with all the data they collect. Currently, it is mainly used for marketing purposes. Still, it could be used to predict consumer behavior, improve product design, or identify new business opportunities.

Data Communicator/ Storyteller

As technology continues to evolve, so do the skills that employers are looking for in their employees. In the coming years, one of the most essential skills in demand is communicating data effectively.

With the ever-increasing amount of data collected and stored, it is becoming more and more difficult for businesses to make sense of it all. That’s where data communicators come in. Data communicators are experts at taking complex data sets and communicating them in a way that is easy to understand.

Not only do they need to be able to understand and interpret data, but they also need to be able to tell a story with it. The best data communicators can take data and turn it into an engaging story that can help organizations make better decisions.

If you have strong communication skills and are interested in working with data, then a career as a data communicator may be right for you!

Data Analyst: A data analyst analyzes, processes, and interprets data to find trends, patterns, and insights. Data analysts use their skills to help organizations make better decisions by providing them with actionable information.

Data storytellers use various communicative methods, such as written communication and visualizations, to convey insights. Tools like PowerBI, QlikView, MicroStrategy, Google Data Studio, and Tableau help them find the most effective and accurate ways of conveying information.

To be a successful data analyst, you must have strong analytical and problem-solving skills. You must also be able to effectively communicate your findings to others. See below some Data Communicator and Storyteller skills.

Data visualization: Data communicators and storytellers should be skilled in creating visualizations that clearly and effectively communicate data insights. This includes choosing the appropriate chart or graph type, using adequate labeling and formatting, and selecting an appropriate color scheme.

Writing: Writing clearly and concisely is essential for communicating data insights to a wide range of audiences. This includes explaining complex concepts in simple terms and using appropriate language for the audience.

Storytelling: Data communicators and storytellers should be skilled in using storytelling techniques to engage and inform their audience. This includes understanding how to structure a story, use compelling narratives to convey data insights, and use visual aids to support the story.

Presentation skills: Data communicators and storytellers should be skilled in presenting data insights effectively, whether in person or online. This includes understanding how to use visual aids, engage with the audience, and adapt the presentation to different audiences and contexts.

Data literacy: Understanding and interpreting data is essential for data communicators and storytellers. This includes understanding key concepts such as statistical significance and being able to critically evaluate data sources and methods.

If you are interested in a career that combines your love of numbers with your communication skills, then a career as a data analyst may be the perfect fit for you!

UX Design / Web Development

User experience (UX) design and the closely related field of user interface (UI) design will become increasingly valuable skills as businesses worldwide transform into tech companies. No matter your role on a team, you’re expected to know how to use technology. UX is what makes technology work for everyone, even when they don’t have coding knowledge. This becomes even more important in low-code/no-code environments, where businesses can build applications without hiring an engineer. Enterprises realize that good experiences lead to more engaged customers and employees. This isn’t just a trend that helps designers—it will help business owners retain their customers and make their employees happier going through their daily tasks.

The field of web development is constantly changing, with new technologies and trends always emerging. But some core skills will always be in demand. If you’re looking to get into web development, or move up in your career, make sure you have these skills:

1.HTML and CSS: These are the foundation languages of the web. Every website is built with HTML and CSS, so if you want to be a web developer, you need to know them inside out.

2.JavaScript: JavaScript is a programming language that helps make websites interactive. It’s used to add features like menus, forms, and animations.

3. Web Standards: Websites must be built using web standards to work correctly on all devices and browsers. This includes proper code structure and formatting, semantic markup, and ensuring your CSS is compatible with different browsers.

4. Responsive Design: With more people than ever accessing the internet on mobile devices, websites must be designed to be responsive – that is, they look good and work well on any screen size. This means using flexible layouts, media queries, and other techniques to ensure your site looks great on any device.

5. User Experience (UX): A good user experience is essential for any website or app. As a web developer, you must understand how users interact with websites and design your sites accordingly. This includes things

Cyber Security

Cyber security is one of the most in-demand tech skills of the future. With the increasing amount of data being stored and shared online, companies are looking for ways to protect their information from cyber attacks. As a result, the demand for cybersecurity professionals is expected to grow.

Information extracted from this article.

Cyber security specialists are responsible for developing and implementing security measures to protect computer networks and systems from unauthorized access or damage. They may also be required to monitor network activity for suspicious activity and respond to incidents when they occur.

Here are some Cybersecurity skills.

Network security: Involves protecting networks, devices, and data from unauthorized access or attacks. This includes understanding how to secure networks and devices, as well as how to detect and respond to security threats.

Security protocols: Cybersecurity professionals should be familiar with various security protocols, including encryption, access control, and authentication, to protect data and systems from cyber threats.

Risk assessment and management: Cybersecurity professionals need to be able to identify potential security risks and implement strategies to mitigate them. This includes understanding how to conduct risk assessments and develop risk management plans.

Security incident response: When a security incident occurs, it is important for cybersecurity professionals to respond quickly and effectively. This includes understanding how to identify the cause of an incident, contain it, and restore affected systems.

Compliance: Cybersecurity professionals must be familiar with relevant laws, regulations, and industry standards to ensure that their organization complies with all relevant requirements. This includes understanding data protection laws and industry-specific regulations.

To succeed in this field, you must have strong technical skills and be up-to-date on the latest security threats. You will also need to be able to think creatively to develop new solutions to address evolving security challenges.

Digital Marketing

Digital marketing is one of the most in-demand tech skills today. With the rise of online marketing and the growth of the digital economy, businesses are increasingly looking for candidates with strong digital marketing skills.

There are several reasons why digital marketing skills are in high demand. First, the growth of the internet and mobile devices has made it easier for businesses to reach their target audiences through digital channels. Second, as more businesses move into the online space, they need skilled marketers to help them navigate the complex world of digital marketing. Finally, as traditional advertising channels become less effective, businesses are turning to digital marketing to reach their customers and grow their business.

Many skills are essential for developing a solid foundation in digital marketing. Here are five key skills that can help you succeed in this field:

Data analysis and interpretation: Digital marketing relies heavily on data to guide strategy and measure the effectiveness of campaigns. Therefore, analyzing and interpreting data accurately is a crucial skill.

Content creation and management: Compelling, relevant content is crucial for attracting and retaining customers. This includes writing copy for websites and social media and creating visual content such as images and videos.

SEO: Search engine optimization (SEO) involves optimizing a website and its content to improve its ranking in search engine results pages. This includes researching and using relevant keywords and ensuring that a website is mobile-friendly and has fast loading times.

Advertising: Digital marketing includes advertising on platforms such as Google and social media. This includes understanding how to create and target ads and measuring their effectiveness.

Social media marketing: Social media is a powerful tool for connecting with customers and building brand awareness. Developing expertise in social media marketing involves understanding how to create and manage social media profiles and creating and sharing content that resonates with specific audiences.

If you’re looking to start or enhance your career in tech, developing solid digital marketing skills is a great place to start. Here are some tips to get you started:

  1. Familiarize yourself with different digital marketing channels.
  2. Learn how to create effective campaigns using different digital marketing tools.
  3. Understand how to measure and analyze your results to optimize your campaigns.
  4. Stay up-to-date on the latest trends and technologies in digital marketing.
  5. Get experience by working on projects for real businesses or organizations.

Artificial Intelligence

Artificial intelligence plays a crucial role in the skills I mentioned before, specifically the power to work alongside AI in a manner that is commonly described as “augmented working.” Data communicators have tools that suggest the most effective forms of visualization and storytelling to communicate their insights. Cyber security professionals can use AI to analyze network traffic and spot potential attacks before they cause damage. UX designers use AI-assisted user behavior analytics to determine which features and functionality should be emphasized electronically. Finally, digital marketers have many AI tools for predicting audience behavior and developing copy and content.

In recent years, there has been a lot of hype surrounding artificial intelligence (AI). And with good reason – AI has the potential to revolutionize several industries, from healthcare and finance to manufacturing and logistics.

But what does AI entail? And what skills do you need to get a job in this field?

Here’s a quick overview of AI, along with some of the most in-demand AI jobs and skills:

What is artificial intelligence?

At its core, artificial intelligence is all about using computers to simulate or carry out human tasks. This can involve anything from understanding natural language and recognizing objects to making decisions and planning actions.

There are different types of AI, but some of the most common are machine learning, deep learning, natural language processing, and computer vision.

AI jobs in demand

As AI continues gaining traction, the demand for AI-related jobs is rising. According to Indeed, job postings for AI roles have increased by 119% since 2015. And LinkedIn’s 2018 Emerging Jobs Report found that roles related to machine learning are among the fastest-growing jobs in the US.

Some of the most in-demand AI jobs include:

Data Scientist: A data scientist is a professional responsible for collecting, analyzing, and interpreting large amounts of data to identify trends and patterns. They use statistical methods, machine learning techniques, and domain knowledge to extract valuable insights from data and communicate their findings to stakeholders through reports, presentations, and visualizations.

Machine Learning Engineer: A machine learning engineer designs, builds and maintains machine learning systems. They work closely with data scientists to understand the requirements of a machine-learning project and use their programming skills to implement and deploy machine-learning models. They may also be responsible for evaluating these models’ performance and making necessary improvements.

Research Scientist: A research scientist is a professional who conducts research in a particular field, such as computer science, biology, or physics. They may work in academia, government, or industry and use a variety of methods, including experimentation, simulation, and data analysis, to advance the state of knowledge in their field.

Data Analyst: A data analyst is a professional responsible for collecting, processing, and analyzing data to support decision-making and strategic planning. They may use various tools and techniques, such as SQL, Excel, and statistical software, to manipulate and visualize data and communicate their findings through reports and visualizations.

Business Intelligence Analyst: A business intelligence analyst is a professional responsible for collecting, analyzing, and interpreting data to support business decision-making. They may use various tools and techniques, such as SQL, Excel, and business intelligence software, to extract and analyze data from various sources and present their findings to stakeholders through reports, dashboards, and visualizations.

Let’s see the Bernard Marr video on Youtube about these skills.

Video extract from this Forbes article.

Conclusion

As the world progresses, so too does the technology we use. It’s crucial to stay ahead of the curve and learn new skills that will be in demand in future years. The skills listed in this article will be in high demand in 2023, so start learning them now! Who knows, you might even be able to get a head start on your competition.

The tech industry is constantly evolving, so it’s essential to stay ahead of the curve. The skills listed in this article will be in high demand in 2023, so start learning them now! You might even be able to get a head start on your competition.

As technology rapidly evolves, keeping your skills up-to-date is essential to stay ahead. The five tech skills mentioned in this article will be in high demand in 2023, so if you don’t have them already, now is the time to start learning. With these skills under your belt, you’ll be well-positioned to take advantage of the many opportunities coming your way in the next few years. Do you have any of these tech skills? Are there other skills you think will be in high demand in 2023? Let us know in the comments below!

That’s it for today!

Extracting information from unstructured text is easy with Open AI. All you need to do is give the instructions.

How does one successfully extract information from the unstructured text? Through natural language processing, or NLP. You may be wondering what that even means or how it can facilitate the extraction of information. All you need to do is give the instructions. This article will discuss how NLP facilitates the extraction process and how it is done – supervised and unsupervised learning.

What is Open AI?

Open AI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. Founded in December 2015, with initial funding of $1 billion from Sam Altman and several other investors, OpenAI has the stated goal of promoting friendly artificial intelligence to benefit humanity as a whole.

How does Open AI Work?

There are many different ways to extract information from unstructured text. The most common way is to use a keyword or keyphrase. This is where you give a specific word or phrase to the Open AI software, which will locate all instances of that word or phrase in the text. It will then return the results to you in an easily readable format.

Another way to extract information from unstructured text is to use a concept search. This is where you give a general concept or topic to the software, and it will locate all instances of that concept in the text. It will then return the results to you in an easily readable format.

The last way to extract information from unstructured text is to use a natural language processing model. This is where you provide the software with a large amount of text, and it will analyze the text’s grammar, syntax, and meaning. It will then return the results to you in an easily readable format.

Creating a System for Extracting Information from Unstructured Text with Open AI

If you have a lot of unstructured text and you need to extract information from it, Open AI can help. All you need to do is give the instructions to the software, and it will do the rest.

Open AI is especially useful for extracting information from unstructured text because it can handle various formats. For example, if you have a PDF document, Open AI can convert it into text that can be further processed.

 Open AI is also good at dealing with multiple languages. For example, if you have a document in English and another in Portuguese, Open AI can usually translate between the two languages and extract the desired information.

Putting it to work:

Open AI makes extracting information from unstructured text easy. All you need to do is give the instructions. Let’s go to the example. I selected the sub-judice patent publications extracted from the 10 latest BRPTO Brazilian gazettes. Note that everything is written in Brazilian Portuguese. If you want the dataset I used, you can click here to download it.

Python
import pandas as pd
import openai
import pyodbc

openai.api_key = "YOU HAVE TO INSERT HERE YOUR OPEN AI KEY"

# Define the funcion to ask the question and extract the information
def OpenAI_Question(question_type, openai_response ):
    response = openai.Completion.create(
      engine="text-davinci-003",
      prompt= question_type + chr(10) + openai_response + chr(10),
      temperature=0.7,
      max_tokens=256,
      top_p=1,
      frequency_penalty=0,
      presence_penalty=0
    )
    return response['choices'] [0]['text']
    
def Extract_Process_Information( Text ):
    Resultado = OpenAI_Question("Extrair do texto o número do processo udicial, tipo da ação, tribunal, interessados, autor e réus:", Text)
          
    return Resultado
    
# Connect to my experiment database to get the complement of the sub-judice patent publications 
server = 'dbserverlaw.database.windows.net' 
database = 'db_lawrence_experiments' 
username = 'YOUR HAVE TO PUT YOU USER HERE' 
password = 'YOU HAVE TO PUT YOUT PASSWORD HERE'  
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER='+server+';DATABASE='+database+';UID='+username+';PWD='+ password)
cursor = cnxn.cursor()

# select 20 rows from SQL table to insert in dataframe.
query = "select top 20 Complemento from Patentes_SubJudce;"
df = pd.read_sql(query, cnxn)

# Show the results. Here you can do everything you want with the extract information.
print( "Question asked from OpenAI model text-davinci-003: Extrair do texto o número do processo judicial sem ser INPI, tipo da ação, tribunal, interessados, autor e réus.", chr(10))

for i in df.index:
    Extract = Extract_Process_Information(df['Complemento'][i])
    
    print ("Text ", i+1, ":")
    print( df['Complemento'][i], chr(10) )
    print( "Information extracted from the text ",i+1, ":")
    print( Extract.strip(), chr(10) )

Let’s show the results of this Python script:

Question asked from OpenAI model text-davinci-003: “Extrair do texto o número do processo judicial sem ser INPI, tipo da ação, tribunal, interessados, autor e réus.“

Text 1 :
Processo SEI Nº: 52402.011406/2022-11 NUP PRINCIPAL: 01032.546858/2021-44 NUP REMISSIVO: 00848.001324/2022-17 PROCESSO Nº: 5019398-85.2021.4.03.0000 AUTOR: ARTIPE PRODUTOS ORTOPEDICOS E ESPORTIVOS LTDA ? ME Acórdão: A Primeira Turma, por unanimidade, deu provimento ao agravo de instrumento para determinar a suspensão dos efeitos da patente de invenção discutida nos autos de origem.

Information extracted from the text 1 :
Número do processo judicial: 5019398-85.2021.4.03.0000
Tipo da ação: Agravo de Instrumento
Tribunal: Primeira Turma
Interessados: ARTIPE PRODUTOS ORTOPEDICOS E ESPORTIVOS LTDA ? ME
Autor: ARTIPE PRODUTOS ORTOPEDICOS E ESPORTIVOS LTDA ? ME
Réus: Não especificado

Text 2 :
Processo INPI nº 52400.000958/2008-57 NUP PRINCIPAL: 00408.005736/2017-48 NUP REMISSIVO: 00848.001319/2022-12 Origem : TRIBUNAL REGIONAL FEDERAL DA 2ª REGIÃO AGRAVANTE : BMZAK BENEFICIAMENTO METAL MECANICO LTDA – ME AGRAVADO : MUNDIAL S.A. – PRODUTOS DE CONSUMO INTERESSADO : INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL Decisão: 1) julgo PROCEDENTE o pedido autoral, resolvendo o mérito, nos termos do art.269, I, do CPC, para decretar a nulidade da patente de modelo de utilidade MU7801576-6 para ?disposição em botão metálico?; 2) reconheço a litispendência e julgo extinto o pedido reconvencional, sem resolução de mérito, nos termos do art.267, V, penúltima figura, do CPC. Deverá o INPI publicar a presente decisão na próxima RPI e em seu site oficial. Trânsito em julgado.

Information extracted from the text 2 :
Número do processo judicial: 00408.005736/2017-48
Tipo da ação: Ação de nulidade de patente
Tribunal: Tribunal Regional Federal da 2ª Região
Interessados: BMZAK Beneficiamento Metal Mecânico Ltda – ME; Mundial S.A – Produtos de Consumo; Instituto Nacional da Propriedade Industrial
Autor: BMZAK Beneficiamento Metal Mecânico Ltda – ME
Réus: Mundial S.A – Produtos de Consumo

Text 3 :
Processo INPI nº 52402.001592/2021-91 13ª Vara Federal do Rio de Janeiro PROCEDIMENTO COMUM Nº 5007472-60.2021.4.02.5101/RJ AUTOR: OTTA SUSHI COMERCIO DE ALIMENTOS LTDA RÉU: INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL RÉU: LKD ALIMENTOS SAUDÁVEIS LTDA. Sentença: Ante o exposto, Julgo improcedente o pedido de nulidade da patente de modelo de utilidade MU 8900712-3 para ?disposição construtiva introduzida em embalagem para acondicionamento de alimentos?, resolvendo o mérito (CPC/2015, art. 487, inciso I). Trânsito em julgado.

Information extracted from the text 3 :
Processo: 5007472-60.2021.4.02.5101/RJ
Tipo da Ação: Procedimento Comum
Tribunal: 13ª Vara Federal do Rio de Janeiro
Interessados: Otta Sushi Comercio de Alimentos Ltda e LKD Alimentos Saudáveis Ltda
Autor: Otta Sushi Comercio de Alimentos Ltda
Réus: INPI-Instituto Nacional da Propriedade Industrial e LKD Alimentos Saudáveis Ltda.

Text 4 :
Processo INPI nº 52402.005814/2019-20 9ª Vara Federal do Rio de Janeiro NUP: 00408.036343/2019-48 (REF. 5025815-75.2019.4.02.5101) EXEQUENTE: IMPLANTICA PATENT LTD (SOCIEDADE) EXECUTADO: INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL Decisão: Isto posto, julgo procedente o pedido, para decretar a nulidade dos atos administrativos do INPI que extinguiram as patentes de invenção PI0108142-0 e PI0108309-0 com base no art. 13 da Resolução INPI n. 113/2013 e determinar a consequente restauração das mesmas, nos moldes da fundamentação acima.

Information extracted from the text 4 :
Número do processo judicial: 00408.036343/2019-48
Tipo da ação: Execução
Tribunal: 9ª Vara Federal do Rio de Janeiro
Interessados: Implantaica Patent Ltd (Sociedade) e INPI-Instituto Nacional da Propriedade Industrial
Autor: Implantaica Patent Ltd (Sociedade)
Réus: INPI-Instituto Nacional da Propriedade Industrial

Text 5 :
Processo INPI nº 52402.005814/2019-20 9ª Vara Federal do Rio de Janeiro NUP: 00408.036343/2019-48 (REF. 5025815-75.2019.4.02.5101) EXEQUENTE: IMPLANTICA PATENT LTD (SOCIEDADE) EXECUTADO: INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL Decisão: Isto posto, julgo procedente o pedido, para decretar a nulidade dos atos administrativos do INPI que extinguiram as patentes de invenção PI0108142-0 e PI0108309-0 com base no art. 13 da Resolução INPI n. 113/2013 e determinar a consequente restauração das mesmas, nos moldes da fundamentação acima.

Information extracted from the text 5 :
Número do processo judicial: 5025815-75.2019.4.02.5101
Tipo da ação: Execução
Tribunal: 9ª Vara Federal do Rio de Janeiro
Interessados: Implantaica Patent LTD (Sociedade) e INPI – Instituto Nacional da Propriedade Industrial
Autor: Implantaica Patent LTD (Sociedade)
Réus: INPI – Instituto Nacional da Propriedade Industrial

Text 6 :
Processo INPI nº 52402.004535/2022-44 21ª Vara Federal Cível da SJDF PROCESSO JUDICIAL: 1006097-47.2022.4.01.3400 NUP: 00424.125631/2022-73 (REF. 1006097-47.2022.4.01.3400) INTERESSADOS: AGÊNCIA NACIONAL DE VIGILÂNCIA SANITÁRIA – ANVISA E OUTROS Decisão: Pelo exposto, DEFIRO o pedido de tutela provisória de urgência para determinar a suspensão dos efeitos do despacho 16.3 (publicado na RPI nº 2.629 de 25/05/21), que reduziu o prazo de vigência das patentes PI0212733-4 e BR 12 2012 023120 7, de modo que estas permaneçam vigentes até a prolação de sentença de mérito ? limitada a compensação de prazo requerida no pedido, qual seja, 663 (seiscentos e sessenta e três) dias para a PI0212733-4 e 1.594 (mil quinhentos e noventa e quatro) dias para a BR 12 2012 023120 7, bem como que o INPI publique, na primeira edição da RPI subsequente a sua intimação, a informação acerca da tutela concedida.

Information extracted from the text 6 :
Processo judicial: 1006097-47.2022.4.01.3400
Tipo da ação: Tutela provisória de urgência
Tribunal: 21ª Vara Federal Cível da SJDF
Interessados: Agência Nacional de Vigilância Sanitária – Anvisa e outros
Autor: Agência Nacional de Vigilância Sanitária – Anvisa e outros
Réus: INPI

Text 7 :
Processo INPI nº 52402.004535/2022-44 21ª Vara Federal Cível da SJDF PROCESSO JUDICIAL: 1006097-47.2022.4.01.3400 NUP: 00424.125631/2022-73 (REF. 1006097-47.2022.4.01.3400) INTERESSADOS: AGÊNCIA NACIONAL DE VIGILÂNCIA SANITÁRIA – ANVISA E OUTROS Decisão: Pelo exposto, DEFIRO o pedido de tutela provisória de urgência para determinar a suspensão dos efeitos do despacho 16.3 (publicado na RPI nº 2.629 de 25/05/21), que reduziu o prazo de vigência das patentes PI0212733-4 e BR 12 2012 023120 7, de modo que estas permaneçam vigentes até a prolação de sentença de mérito ? limitada a compensação de prazo requerida no pedido, qual seja, 663 (seiscentos e sessenta e três) dias para a PI0212733-4 e 1.594 (mil quinhentos e noventa e quatro) dias para a BR 12 2012 023120 7, bem como que o INPI publique, na primeira edição da RPI subsequente a sua intimação, a informação acerca da tutela concedida.

Information extracted from the text 7 :
Processo judicial: 1006097-47.2022.4.01.3400
Tipo da ação: Tutela provisória de urgência
Tribunal: 21ª Vara Federal Cível da SJDF
Interessados: Agência Nacional de Vigilância Sanitária – Anvisa e outros
Autor: Agência Nacional de Vigilância Sanitária – Anvisa e outros
Réus: INPI

Text 8 :
Processo INPI nº 52400.003545/2022-39 NUP: 00408.078470/2022-10 (REF. 0017246-69.2002.4.02.5101) Autor: Formax Quimiplan Componentes Para Calçados Ltda. Reús: Giulini Chemie GmbH e Instituto Nacional da Propriedade Industrial- INPI Sentença: Isto posto, JULGO IMPROCEDENTE o pedido de nulidade da patente de invenção PI 8506015-1, bem como o pedido de nulidade do privilégio decorrente da reivindicação n’ 1 da patente em tela, formulado alternativamente. Trânsito em julgado.

Information extracted from the text 8 :
Número do processo: 00408.078470/2022-10
Tipo da ação: Nulidade de patente
Tribunal: Tribunal Regional Federal da 2ª Região
Interessados: Formax Quimiplan Componentes Para Calçados Ltda. e Giulini Chemie GmbH
Autor: Formax Quimiplan Componentes Para Calçados Ltda.
Réus: Giulini Chemie GmbH e Instituto Nacional da Propriedade Industrial- INPI

Text 9 :
Processo INPI nº 52402.005638/2020-60 13ª Vara Federal do Rio de PROCEDIMENTO COMUM Nº 5029675-50.2020.4.02.5101/RJ AUTOR: LIBBS FARMACEUTICA LTDA AUTOR: MABXIENCE RESEARCH SL RÉU: GENENTECH, INC RÉU: INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL Decisão: Isto posto, homologo a renúncia ao direito sobre o qual se funda a ação, extinguindo o processo com resolução de mérito (CPC/2015, art. 487, III, ‘c’). Tendo em vista a manifesta ausência de interesse recursal das partes litigantes, o que deriva da própria preclusão lógica inerente à renúncia, certifique-se, desde logo, o trânsito em julgado.

Information extracted from the text 9 :
Número do processo judicial: 5029675-50.2020.4.02.5101/RJ
Tipo da ação: Procedimento comum
Tribunal: 13ª Vara Federal do Rio de Janeiro
Interessados: Libbs Farmacêutica Ltda, Mabxience Research SL, Genentech, Inc. e INPI-Instituto Nacional da Propriedade Industrial
Autor: Libbs Farmacêutica Ltda
Réus: Mabxience Research SL, Genentech, Inc. e INPI-Instituto Nacional da Propriedade Industrial

Text 10 :
INPI nº 52402.011824/2022-08 Origem: JUÍZO FEDERAL DA 9ª VF DO RIO DE JANEIRO (TRF2) Processo Nº: 5076666-16.2022.4.02.5101 NULIDADE DA PATENTE DE MODELO DE UTILIDADE com pedido de Antecipação de Tutela Autor: M.A. ROSSINI LOPES – ME. Réu(s): ANDRÉ LOPES e INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL ? INPI

Information extracted from the text 10 :
Processo Nº: 5076666-16.2022.4.02.5101
Tipo da ação: NULIDADE DE PATENTE DE MODELO DE UTILIDADE com pedido de Antecipação de Tutela
Tribunal: JUÍZO FEDERAL DA 9ª VF DO RIO DE JANEIRO (TRF2)
Interessados: M.A. ROSSINI LOPES – ME., ANDRÉ LOPES e INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL ? INPI
Autor: M.A. ROSSINI LOPES – ME.
Réus: ANDRÉ LOPES e INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL ? INPI

Text 11 :
INPI nº 52402.011451/2022-67 Origem: 25ª Vara Federal do Rio de Janeiro Processo Nº: 5071020-25.2022.4.02.5101/RJ SUBJUDICE com pedido de Antecipação de Tutela Autor: OURO FINO SAUDE ANIMAL LTDA Réu(s): ZOETIS SERVICES LLC e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Information extracted from the text 11 :
Número do processo judicial: 5071020-25.2022.4.02.5101/RJ
Tipo da ação: SUBJUDICE com pedido de Antecipação de Tutela
Tribunal: 25ª Vara Federal do Rio de Janeiro
Interessados: OURO FINO SAUDE ANIMAL LTDA, ZOETIS SERVICES LLC e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL
Autor: OURO FINO SAUDE ANIMAL LTDA
Réus: ZOETIS SERVICES LLC e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Text 12 :
INPI nº 52402.011991/2022-41 Origem: 22ª VARA FEDERAL CÍVEL DA SJDF (TRF1) Processo Nº: 1047948-66.2022.4.01.3400 AÇÃO DE PROCEDIMENTO COMUM Autor: EUSA Pharma (UK) Limited Réu(s): INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Information extracted from the text 12 :
Processo Nº: 1047948-66.2022.4.01.3400
Tipo da Ação: Ação de Procedimento Comum
Tribunal: 22ª Vara Federal Cível da SJDF (TRF1)
Interessados: EUSA Pharma (UK) Limited e Instituto Nacional da Propriedade Industrial
Autor: EUSA Pharma (UK) Limited
Réus: Instituto Nacional da Propriedade Industrial

Text 13 :
INPI nº 52402.010443/2022-01 Origem: 25ª Vara Federal do Rio de Janeiro Processo Nº: 5052162-43.2022.4.02.5101/RJ NULIDADE DA PATENTE DE INVENÇÃO com pedido de Antecipação de Tutela Autor: KOMATSU BRASIL INTERNATIONAL LTDA Réu(s): ESCO GROUP LLC e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Information extracted from the text 13 :
Número do processo judicial: 5052162-43.2022.4.02.5101/RJ
Tipo da ação: NULIDADE DA PATENTE DE INVENÇÃO com pedido de Antecipação de Tutela
Tribunal: 25ª Vara Federal do Rio de Janeiro
Interessados: KOMATSU BRASIL INTERNATIONAL LTDA, ESCO GROUP LLC e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL
Autor: KOMATSU BRASIL INTERNATIONAL LTDA
Réus: ESCO GROUP LLC e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Text 14 :
INPI nº 52402.013111/2022-71 Origem: a 22ª VARA CÍVEL FEDERAL DE SÃO PAULO Processo Nº: 5007277-58.2021.4.03.6100 SUBJUDICE com pedido de Antecipação de Tutela Autor: SYNGENTA SEEDS LTDA, SYNGENTA PARTICIPATIONS AG Réu(s): SEMPRE SEMENTES EIRELI, MINISTÉRIO DA AGRICULTURA, PECUÁRIA E ABASTECIMENTO ? MAPA, INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Information extracted from the text 14 :
Processo nº 5007277-58.2021.4.03.6100
Tipo da Ação: Pedido de Antecipação de Tutela
Tribunal: 22ª Vara Cível Federal de São Paulo
Interessados: Syngenta Seeds Ltda., Syngenta Participations AG, Sempre Sementes Eireli, Ministério da Agricultura, Pecuária e Abastecimento ? MAPA, Instituto Nacional da Propriedade Industrial
Autor: Syngenta Seeds Ltda., Syngenta Participations AG
Réus: Sempre Sementes Eireli, Ministério da Agricultura, Pecuária e Abastecimento ? MAPA, Instituto Nacional da Propriedade Industrial

Text 15 :
“INPI nº 52402.011780/2022-16 Origem: 13ª Vara Federal do Rio de Janeiro Processo Nº: 5047067-32.2022.4.02.5101/RJ NULIDADE DA PATENTE DE INVENÇÃO Autor: COMPANHIA NITRO QUÍMICA BRASILEIRA Réu(s): ICL AMERICA DO SUL S.A. (nova denominação de COMPASS MINERALS AMÉRICA
DO SUL INDÚSTRIA E COMÉRCIO LTDA.) e Instituto Nacional da Propriedade Industrial ? INPI”

Information extracted from the text 15 :
Processo Nº: 5047067-32.2022.4.02.5101/RJ
Tipo da ação: NULIDADE DA PATENTE DE INVENÇÃO
Tribunal: 13ª Vara Federal do Rio de Janeiro
Interessados: Companhia Nitro Química Brasileira, ICL America do Sul S.A. (nova denominação de Compass Minerals América do Sul Indústria e Comércio Ltda.) e Instituto Nacional da Propriedade Industrial (INPI).
Autor: Companhia Nitro Química Brasileira
Réus: ICL America do Sul S.A. (nova denominação de Compass Minerals América do Sul Indústria e Comércio Ltda.) e Instituto Nacional da Propriedade Industrial (INPI).

Text 16 :
INPI nº 52402.012620/2022-86 Origem: 1ª Vara Federal de Curitiba Processo Nº: 5061501-95.2022.4.04.7000/PR NULIDADE DA PATENTE DE INVENÇÃO com pedido de Antecipação de Tutela Autor: S. Almeida Eventos Ltda. Réu(s): HOLMES PEDRO GIACOMET JUNIOR E Instituto Nacional da Propriedade Industrial – INPI

Information extracted from the text 16 :
Número do processo judicial: 5061501-95.2022.4.04.7000/PR
Ação: NULIDADE DA PATENTE DE INVENÇÃO
Tribunal: 1ª Vara Federal de Curitiba
Interessados: S. Almeida Eventos Ltda., HOLMES PEDRO GIACOMET JUNIOR E Instituto Nacional da Propriedade Industrial – INPI
Autor: S. Almeida Eventos Ltda.
Réus: HOLMES PEDRO GIACOMET JUNIOR E Instituto Nacional da Propriedade Industrial – INPI

Text 17 :
INPI nº 52402.012852/2022-34 Origem: 2ª Vara Federal de Blumenau Processo Nº: 5021248-32.2022.4.04.7205 NULIDADE DA PATENTE DE INVENÇÃO Autor: PRATIMIX INDUSTRIA E COMERCIO DE ACESSORIOS ELETRICOS E HIDRAULICOS LTDA, Réu(s): LORENZETTI SA INDÚSTRIAS BRASILEIRAS ELETROMETALURGICAS e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Information extracted from the text 17 :
Processo Nº: 5021248-32.2022.4.04.7205
Tipo da ação: NULIDADE DA PATENTE DE INVENÇÃO
Tribunal: 2ª Vara Federal de Blumenau
Interessados: PRATIMIX INDUSTRIA E COMERCIO DE ACESSORIOS ELETRICOS E HIDRAULICOS LTDA, LORENZETTI SA INDÚSTRIAS BRASILEIRAS ELETROMETALURGICAS e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL
Autor: PRATIMIX INDUSTRIA E COMERCIO DE ACESSORIOS ELETRICOS E HIDRAULICOS LTDA,
Réus: LORENZETTI SA INDÚSTRIAS BRASILEIRAS ELETROMETALURGICAS e INPI-INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Text 18 :
INPI nº 52402.009647/2022-91 Origem: 31ª Vara Federal do Rio de Janeiro Processo Nº: 5059924-13.2022.4.02.5101 SUBJUDICE com pedido de Antecipação de Tutela Autor: EMERSON CORDEIRO DE OLIVEIRA Réu(s): MODULARE BRASIL ARTEFATOS PLÁSTICOS LTDA, MARIANAAZAMBUJA SOARES MUNARI e INSTITUTO NACIONAL DA PROPRIEDADEINDUSTRIAL ? INPI.

Information extracted from the text 18 :
Número do processo judicial: 5059924-13.2022.4.02.5101
Tipo da ação: SUBJUDICE com pedido de Antecipação de Tutela
Tribunal: 31ª Vara Federal do Rio de Janeiro
Interessados: Emerson Cordeiro de Oliveira, Modulare Brasil Artefatos Plásticos Ltda., Mariana Azambuja Soares Munari e Instituto Nacional da Propriedade Industrial – INPI.
Autor: Emerson Cordeiro de Oliveira
Réus: Modulare Brasil Artefatos Plásticos Ltda., Mariana Azambuja Soares Munari e Instituto Nacional da Propriedade Industrial – INPI.

Text 19 :
INPI nº 52402.011352/2022-85 Origem: JUÍZO FEDERAL DA 25ª VF DO RIO DE JANEIRO (TRF2) Processo Nº: 5036388-70.2022.4.02.5101 NULIDADE DA PATENTE DE INVENÇÃO com pedido de Antecipação de Tutela Autor: FALCON DISTRIBUICAO, ARMAZENAMENTO E TRANSPORTES S.A. Réu(s): DRYLOCK TECHNOLOGIES NV e INPI – INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL

Information extracted from the text 19 :
Número do processo judicial: 5036388-70.2022.4.02.5101
Tipo da ação: Nulidade da patente de invenção com pedido de antecipação de tutela
Tribunal: Juízo Federal da 25ª VF do Rio de Janeiro (TRF2)
Interessados: Falcon Distribuição, Armazenamento e Transportes S.A.
Autor: Falcon Distribuição, Armazenamento e Transportes S.A.
Réus: Drylock Technologies NV e INPI – Instituto Nacional da Propriedade Industrial.

Text 20 :
INPI nº 52402.011631/2022-49Origem: Justiça Federal – 9ª Vara Federal do Rio de JaneiroProcedimento Comum nº 5098088-81.2021.4.02.5101/RJembargos de declaração opostos contra alegado equívoco na decisão proferidaautor: Adama Brasil S/Aréus: United Phosphorus Limited e INPI – Instituto Nacional da Propriedade Industrial

Information extracted from the text 20 :
Processo judicial: 5098088-81.2021.4.02.5101/RJ
Tipo da ação: Embargos de Declaração
Tribunal: Justiça Federal – 9ª Vara Federal do Rio de Janeiro
Interessados: Adama Brasil S/A, United Phosphorus Limited e INPI – Instituto Nacional da Propriedade Industrial
Autor: Adama Brasil S/A
Réus: United Phosphorus Limited e INPI – Instituto Nacional da Propriedade Industrial

As you can see, with a few instructions, you can easily and quickly perform many tasks efficiently compared to the traditional way of using an algorithm created by you in a programming language. By the traditional method, you would need to consider all the variations in the text.

You can test your experiment direct from Open AI Playground.

Screen extract from Open AI Playground

Conclusion

More and more, these AI models are getting more advanced. This example we used was done using GPT-3. The Open AI is working in GPT-4. The Open AI GPT-4 is considerably larger than the GPT-3 in terms of parameters and performance. While the GPT-3 only has 8 million parameters, the GPT-4 has 1.5 billion. This increase in size allows the GPT-4 to learn much faster and achieve better results on various tasks.

Follow the information about new Novembre 2022 update in GPT-3:

https://arstechnica.com/information-technology/2022/11/openai-conquers-rhyming-poetry-with-new-gpt-3-update/

Follow articles about the new GPT-4 still being created by Open AI:

https://towardsdatascience.com/gpt-4-is-coming-soon-heres-what-we-know-about-it-64db058cfd45
https://www.datacamp.com/blog/what-we-know-gpt4
https://www.technologyreview.com/2022/11/30/1063878/openai-still-fixing-gpt3-ai-large-language-model/

That’s it for today!