LLM-Zero-to-Hundred  by Farzad-R

LLM chatbot projects, training/finetuning techniques

created 1 year ago
398 stars

Top 73.7% on sourcepulse

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Project Summary

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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1 month ago

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1 day

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32 stars in the last 90 days

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