The video discusses a new project focused on creating deeper Knowledge Trees using GPT-4o, allowing users to explore topics in greater detail through generated related topics stored in a Json file and displayed in HTML format. The script enables users to navigate through various levels of related topics, providing a structured and interactive experience for exploring complex subjects using OpenAI and Termcolor libraries.
In the video, the creator discusses a new project focused on generating deeper Knowledge Trees using GPT-4o. Previously, they could only populate related topics up to a depth of three due to cost constraints. The new project aims to allow users to explore topics in greater detail by running a script that generates multiple related topics based on a user-provided topic, saving the information in a Json file for display in an HTML format. The HTML display is powered by an extension called Live Preview, allowing users to interact with the generated topics visually.
Users can input a topic of interest, such as online marketing, and the script will generate a list of related topics for exploration. By selecting a specific topic, such as content marketing or measurement and analytics, users can delve deeper into subtopics within the Knowledge Tree. The script enables users to navigate through various levels of related topics, providing a structured and interactive experience for exploring complex subjects.
The project involves several files, including a basic call file for handling API calls to GPT-4o, an index.html file for displaying the generated topics on a web page, and a knowledge extracted manually file for managing the generation process. The script utilizes OpenAI and Termcolor libraries for functionality. The main function of the script involves collecting and organizing topics based on user input, allowing for iterative exploration and navigation through the Knowledge Tree.
The script prompts users to select topics of interest, navigate through subtopics, and explore related concepts within the Knowledge Tree. Users can go deeper into specific topics, such as KPI measurement or content calendar, by selecting them from the generated list. The structure of the script allows for flexibility in exploring different branches of knowledge, empowering users to customize their learning experience based on their interests and preferences.
Overall, the project offers a dynamic and interactive way to explore complex topics in depth. By leveraging GPT-4o’s capabilities, users can navigate through interconnected concepts, discover related subtopics, and engage with a comprehensive Knowledge Tree. The script facilitates a guided exploration of diverse subjects, enabling users to expand their understanding and discover new insights within a structured learning environment.