sinanuozdemir/quick-start-guide-to-llms
The Official Repo for "Quick Start Guide to Large Language Models"
AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.
$ git clone https://github.com/quanta-quest/quanta-quest.gitThe Official Repo for "Quick Start Guide to Large Language Models"
pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.
▲ +12 ★ this week
The open-source hub to build & deploy GPT/LLM Agents ⚡️
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
Data from GitHub · snapshot Nov 13, 2026