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Inspect: A framework for large language model evaluations
Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).
High-quality datasets, tools, and concepts for LLM fine-tuning.
Guide for fine-tuning Llama/Mistral/CodeLlama models and more
All the bufo emojis you could possibly ask for
Collection of recipes aiding Gen AI model development
R2R is an open source RAG engine with a RESTful API. Features include hybrid search, GraphRAG, multimodal RAG, observability and analytics, and more.
Command line tool and async library to perform basic file operations on local paths, Google Cloud Storage paths and Azure Blob Storage paths.
Must-read Papers on Knowledge Editing for Large Language Models.
LLM Agora, debating between open-source LLMs to refine the answers
MAD: The first work to explore Multi-Agent Debate with Large Language Models :D
A multi-purpose LLM framework for RAG and data creation.
AgentSearch is a framework for powering search agents and enabling customizable local search.
LLM Finetuning with peft
oref0: The open reference implementation of the OpenAPS reference design.
Development repository for the Triton language and compiler
Care is a Digital Public Good enabling TeleICU & Decentralised Administration of Healthcare Capacity across States.
Deno build of the official Typescript library for the OpenAI API.