Upgrade ChatGPT To Instantly Work In The Real World

Introduction to Chat GPT and Cheat Sheet

In this section, the speaker introduces Chat GPT and Cheat Sheet, recommends paying for access to Chat GPT, and provides instructions on how to log in to both platforms.

Accessing Chat GPT and Cheat Sheet

• Access to Open AI's Chat GPT may be limited during periods of high stress.

• The speaker recommends paying for access or waiting until a free beta is available.

• To access the Cheat Sheet Bootcamp, log in to chatgpt.com in one tab and cheat.sh/bootcamp in another tab.

• Ensure that you have the latest extension installed (version 5.8.3).

Teaching Chat GPT How to Use Chrome Extension API

In this section, the speaker explains how to teach Chat GPT how to use Chrome Extension API by linking it with Cheat Sheet.

Linking Chat GPT with Chrome Extension API

• Teach Chat GPT how to use our internal library by copying a prompt into a new chat.

• Paste the prompt into a new chat window and click enter.

• Open the Cheat Sheet extension and click on "Code Layer" which should open a new tab with an alert message saying "Hello".

• The code generated by Chat GPT can now be run as an automation using the Cheat Sheet extension.

Generating Data Using Chat GPT

In this section, the speaker demonstrates how to generate data using Chat GPT and use it for fine-tuning.

Generating Data Using Chat GPT

• Copy the first sentence of a prompt into a new chat window.

• Chat GPT generates a list of US cities with over 1 million population.

• Chat GPT can be used to generate data for research or building fine-tuned models.

Conclusion

In this section, the speaker concludes the tutorial by summarizing what was covered and expressing excitement about the potential of Chat GPT and Cheat Sheet.

Final Thoughts

• The speaker is excited about the potential of Chat GPT and Cheat Sheet.

• Chat GPT can be used to generate data automatically, but fact-checking is recommended.

• Cheat Sheet can be used to teach Chat GPT how to use Chrome Extension API.

Google Sheets Integration

In this section, the speaker explains how to integrate Cheat Layer with Google Sheets.

Integrating Cheat Layer with Google Sheets

• To integrate Cheat Layer with Google Sheets, open a new tab and go to sheets.new.

• Copy the second and third sentences from step two of the instructions provided by Cheat Layer. Then paste them into the new tab you just opened.

• Copy the URL of the new Google Sheet that was created and paste it into Cheat Layer. Press enter.

• Open Cheat Layer and click on "Code" in the bottom right corner. The data should now be added to your Google Sheet.

JavaScript Libraries

In this section, the speaker discusses how to use JavaScript libraries in conjunction with Cheat Layer.

Using JavaScript Libraries

• JavaScript is a great language for coding because it has an ecosystem of open-source libraries on GitHub that can be integrated into models used by Cheat Layer.

• By searching for specific keywords on GitHub, such as "JavaScript voice recognition," users can find libraries that will allow them to solve problems using these models.

Rendering 3D Objects

In this section, the speaker demonstrates how to render 3D objects using Cheat Layer.

Rendering 3D Objects

• Users can render 3D objects using JavaScript libraries in conjunction with Cheat Layer.

• After generating code for rendering a 3D object, open up Cheat Layer and click on "Code" in the bottom right corner. The object should now be rendered on your website.

Introduction to GPT-3

In this section, the speaker introduces GPT-3 and its capabilities.

What is GPT-3?

• GPT-3 is a language model that can generate human-like text.

• It has 175 billion parameters, making it one of the largest language models available.

• It can perform a wide range of tasks, including translation, summarization, and even coding.

How does GPT-3 work?

• GPT-3 works by training on massive amounts of data to learn patterns in language.

• It uses these patterns to generate new text based on input prompts.

• It can also take live video inputs and textures to create 3D objects.

Examples of GPT-3 in Action

In this section, the speaker provides examples of what GPT-3 can do.

Example 1: Generating Text

• The speaker demonstrates how easy it is to generate text using GPT-3 by simply providing an input prompt.

• The model generates coherent and grammatically correct sentences without any additional training or fine-tuning.

Example 2: Creating 3D Objects

• The speaker shows how GPT-3 can be used to create 3D objects with textures from live video inputs or image locations.

• This feature is still in development but will soon be available for everyone through OpenAI's chatbot API.

Example 3: Generating Websites

• The speaker demonstrates how easy it is to use GPT-3 to generate an entire website with different sections like hero and feature sections.

• You can even tell it which assets to use like logos.

Conclusion

In this section, the speaker concludes the presentation and encourages viewers to try GPT-3 for themselves.

• The speaker emphasizes that GPT-3 is a powerful tool that can be used for a wide range of tasks.

• He encourages viewers to try it out for themselves and see what they can create with it.

Introduction to Chat GPD

In this section, the speaker introduces Chat GPD and explains how it can be used to generate website code using natural language.

Using Chat GPD to Generate Website Code

• Chat GPD is a tool that can generate website code using natural language.

• Users can click "stop generating" after the code is generated and then open Cheat Layer and hit the code layer. This should run the code without errors.

• The appearance of the generated website may vary depending on individual preferences.

• The speaker demonstrates a simple example of generating a website with a logo, text, and image placement.

• Users can customize their websites by adding hero sections, feature sections, etc.

Training Project Atlas

In this section, the speaker discusses how users will soon be able to train Project Atlas using natural language.

Training Project Atlas with Natural Language

• Users will soon be able to train Project Atlas using natural language in the same way that they use Chat GPD to generate website code.

• Currently, software engineers are needed to train Project Atlas because it only supports certain automations that have been trained into it so far.

• The team is working on expanding the list of supported automations based on user requests but this is currently limited by their capacity for training models.

• Raising funds will help them run faster in this race against other firms facing similar challenges in training models for automation tools.

• Once users generate an automation using natural language, they can send the code back to the server to train the model so that it can be generated automatically in the future.

• The speaker is excited about the prospect of users being able to help train Project Atlas using natural language and this is one of the reasons why this boot camp exists.

Using Chat GPD for 3D Design

In this section, the speaker demonstrates how Chat GPD can be used for 3D design.

Generating a 3D Scene with Shiny Balls

• The speaker demonstrates generating a 3D scene with shiny balls using natural language.

• Users can experiment with different prompts and see what kind of designs they can generate.

Introduction to 3D Rendering in the Browser

In this section, the speaker introduces a tool that can generate 3D scenes and games in the browser using JavaScript.

Generating 3D Scenes and Games

• The speaker introduces a tool that can generate 3D scenes and games in the browser using JavaScript.

• The tool can be used to generate any 3D scene or game desired.

• The speaker demonstrates how to make a simple game using the tool.

• This tool could be useful for generating data or testing automations.

Conclusion and Team Project Discussion

In this section, the speaker concludes their presentation on the tool for generating 3D scenes and games, and discusses details about a team project.

Team Project Discussion

• The speaker reminds listeners that they have until Friday to complete their team project.

• The speaker will be available on Discord to answer any questions.