litc-rgb's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
HqWu-HITCS/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
01-ai/Yi
A series of large language models trained from scratch by developers @01-ai
modelscope/modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
baichuan-inc/Baichuan-7B
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
microsoft/promptbase
All things prompt engineering
thinkingjimmy/Learning-Prompt
Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!
baichuan-inc/Baichuan2
A series of large language models developed by Baichuan Intelligent Technology
QwenLM/Qwen1.5
Qwen1.5 is the improved version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.
NVIDIA/ChatRTX
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
run-llama/llama-lab
airockchip/rknn-toolkit2
jxzhangjhu/Awesome-LLM-RAG
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
qdrant/qdrant-client
Python client for Qdrant vector search engine
NLPJCL/RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
mrdbourke/simple-local-rag
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
NVIDIA/workbench-example-hybrid-rag
An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)
Marker-Inc-Korea/RAGchain
Extension of Langchain for RAG. Easy benchmarking, multiple retrievals, reranker, time-aware RAG, and so on...
IAAR-Shanghai/CRUD_RAG
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
qdrant/qdrant-web-ui
Self-hosted web UI for Qdrant
lucifertrj/Awesome-RAG
RAG-VectorDB-Embedings-LlamaIndex-Langchain
metaswang/bao
Chat Bot with LLM and Fact Reference. RAG(Retrieval Augmented Generation) and LangChain backed
owenliang/rag-retrieval
RAG向量召回示例
rasbt/RAGs
RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
zekaouinoureddine/Adding-Private-Data-to-LLMs
RAG - Add Your Own Data to LLMs Using LangChain & LlamaIndex