Free Guide: 3 proven strategies to fast track AI projects
The genAI revolution is happening right now. ML leaders are being asked to deliver higher quality models faster. Their teams need better tools to train, fine-tune, evaluate, deploy, and monitor models efficiently.
In this whitepaper, we explain the top three strategies our customers use to accelerate experiment velocity, centralize model management, and improve governance. You’ll learn how to:
- Run more experiments, analyze them interactively, and quickly build higher-quality models
- Centralize the tracking of models, datasets, metadata, and their lineage to support governance, reproducibility, and CI/CD
- Support audits for regulatory compliance and model governance and collaborate securely with fine-grain access controls and data protection
Learn how to turbocharge your AI projects by focusing on what matters most. Fill out the form to download your free whitepaper.
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Trusted by the teams building state-of-the-art LLMs
Heinrich Kuttler
Research Engineer – Facebook AI Research
Research Engineer – Facebook AI Research
“For us, Weights and Biases was a game-changer. No other MLOps tool available allows for rapid iteration of AI experiments with the same ease of sharing results, annotating interesting behavior, and long-term storage of logging data.”
Peter Welinder
VP of Product- OpenAI
VP of Product- OpenAI
“We use W&B for pretty much all of our model training.”
Ellie Evans
Product Manager- Cohere
Product Manager- Cohere
“W&B lets us examine all of our candidate models at once. This is vital for understanding which model will work best for each customer. Reports have [also] been great for us. They allow us to seamlessly communicate nuanced technical information in a way that’s digestible for non-technical teams.”