LLM chatbot projects, training/finetuning techniques
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This repository offers a comprehensive suite of LLM chatbot projects and tutorials, targeting developers and researchers interested in Retrieval Augmented Generation (RAG), LLM agents, and fine-tuning techniques. It provides practical implementations and comparative analyses of popular frameworks like Langchain and LlamaIndex, enabling users to build advanced, multimodal, and web-integrated AI assistants.
How It Works
The projects leverage a modular structure, with each project folder containing source code, configurations, and data. Core functionalities often involve integrating LLMs (like OpenAI's GPT models or open-source alternatives such as Google Gemma) with vector databases (ChromaDB) and search engines (DuckDuckGo). Techniques like RAG are implemented in various ways, including preprocessed documents, user-uploaded files, and live website scraping, with advanced features like image generation/understanding and text/voice interaction.
Quick Start & Requirements
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