The best machine learning teams in the world use Weights & Biases
No matter the size of your ML team, Weights & Biases enables deep collaboration, logging everything you need to build better models faster. Learn why teams like OpenAI, Stability, NVIDIA, and more trust Weights & Biases.
Trusted by some of the most innovative teams in machine learning
A single shared source of truth
Unify everything from models and pipelines to experiments and datasets in a single system of record for your ML team. Weights & Biases lets you log and track what’s important for your unique use case so your team can be confident about every step of your model development pipeline.
Integrates with the tools and frameworks you’re using already
Weights & Biases plays well with others. We support all major ML frameworks, training and inference environments, and workflow orchestration tools. No matter what you’re using, we’re confident you can use it with Weights & Biases.
Solve audit and compliance issues
With Weights & Biases, you’ll know which code corresponds to which model, which datasets you used during training, and how everything in your pipeline changes over time. That lets your team satisfy legal and compliance concerns with confidence–and the proof to back it up.
Flexible deployment for whatever way your team works
Collaborate with confidence
Say goodbye to shared spreadsheets, endless Slack threads, and other outmoded forms of collaboration. Weights & Biases organizes your team’s vital information in one place, accessible to everyone, so you can stop wondering about if you’re using the newest dataset or have visibility into the latest experiment. With Weights & Biases, you do.
See Weights & Biases in action
Object Detection Pipeline with W&B
Prompt Engineering LLMs with LangChain and W&B
AlphaFold-ed Proteins in W&B
How to Collaborate with ML
Listen to our Podcast with NVIDIA’s Founder, Jensen Huang
The W&B Guide to Holistic MLOps
The Weights & Biases platform helps you streamline your workflow from end to end
Models
Experiments
Track and visualize your ML experiments
Sweeps
Optimize your hyperparameters
Registry
Publish and share your ML models and datasets
Automations
Trigger workflows automatically
Launch
Package and run your ML workflow jobs
Weave
Traces
Explore and
debug LLMs
Evaluations
Rigorous evaluations of GenAI applications