An Extensible Framework for Retrieval-Augmented LLM Applications: Learning Relevance Beyond Simple Similarity.

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Ongoing research training transformer models at scale

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

production-ready RAG engine with a sh*t ton of features.

AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

An open-source compound AI toolchain for fast and accurate entity matching, powered by LLMs.

Extract markdown and images from URLs, PDFs, docs, slides, and more, ready for multimodal LLMs. ⚡

[ECCV 2024] PointLLM: Empowering Large Language Models to Understand Point Clouds

Chitti is a retrieval-augmented-generation (RAG) application which utilizes a Mistral Large Language Model (LLM) for generation and a bge-m3 model developed by BAAI for retrieval. Chitti can help you answer questions about the IoT Summer Program, Projects in the program curriculum, Innovations of AIoT SMART Labs, Certification process and more!

A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

BigCodeBench: The Next Generation of HumanEval

🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Tool use APIs platform for AI Agent

Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793

The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.

Cerbrec Graphbook is the graphical deep learning framework for everyone to build, inspect, and customize AI models.