The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Open source platform for the machine learning lifecycle

A modular graph-based Retrieval-Augmented Generation (RAG) system

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

🦜🔗 Build context-aware reasoning applications

LlamaIndex is the leading framework for building LLM-powered agents over your data.

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

Code examples and resources for DBRX, a large language model developed by Databricks

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥

Train transformer language models with reinforcement learning.

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Proof-of-concept system for grounding large language models through interaction with remote RDF cube stores

Let's build better datasets, together!

Accurate routing for OpenStreetMap/OSMnx