The LLM Data Analyst represents an AI application developed with Streamlit, seamlessly integrating OpenAI's GPT-4 to form a flexible tool for querying information from CSV files.
Boasting functionalities like file uploading, query input, and dynamic response generation, the application harnesses the power of langchain_experimental's agent_toolkits and the ChatOpenAI module.
This ensures users a smooth interaction with the sophisticated langchain framework, providing a robust and technically sound approach to extracting information from structured datasets.
LLM.Analyst.mp4
The RAG (Retrieval-Augmented Generation) is a cutting-edge conversational AI system, leveraging OpenAI's GPT-4 and advanced technologies like FAISS-GPU and OpenAIEmbeddings.
By combining generative and retrieval-based approaches, RAG provides contextually rich responses and ensures the AI stays up-to-date with the latest information.
This versatile solution is ideal for companies seeking to manage and retrieve proprietary information dynamically, offering a powerful tool for maintaining a knowledge base that adapts to the evolving landscape of data.
With normal query, ChatGPT is not able to answer the question effectively:
With the RAG framework applied, ChatGPT is able to give reply based on the latest information given:
This project is an interactive text-based adventure game where players embark on a mystical journey in the Whispering Woods. The game dynamically adapts the tale based on the player's decisions, creating a branching narrative experience where each choice leads to a new path, ultimately determining the fate of the traveler named Elara.
Usage: Speech to text and provide few functions
- Provide summary of the speech
- Provide keywords of the speech (Generate YouTube tags)
- Provide options to translate to different languages
If you're new to this repository, follow these steps to get started:
- Clone the repository.
- Navigate to the specific project folder.
- Follow the project-specific instructions in each project's README.
If you're interested in contributing to any of these projects, please contact me directly.
Feel free to contact me :D
Email: youxuan2010@gmail.com