Stars
Secure open source cloud runtime for AI apps & AI agents
Build multimodal language agents for fast prototype and production
Official repository for "DynaSaur: Large Language Agents Beyond Predefined Actions"
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
RAG that intelligently adapts to your use case, data, and queries
Cross-Platform, GPU Accelerated Whisper 🏎️
SGLang is a fast serving framework for large language models and vision language models.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…
A playbook for systematically maximizing the performance of deep learning models.
Superfast AI decision making and intelligent processing of multi-modal data.
Provides a common interface to many IR ranking datasets.
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…
Machine Learning Engineering Open Book
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
High-speed Large Language Model Serving for Local Deployment
A Unified Library for Parameter-Efficient and Modular Transfer Learning
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.