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State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. Provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. The industry standard for Large Language Models (LLMs) and foundation models in science.
Guidance for building AI systems for scientific discovery, based on lessons from AlphaFold's development. Use when designing ML systems for scientific domains, planning validation strategies using blind benchmarks, deciding how to release scientific AI tools for maximum impact, evaluating data acquisition vs architectural research investment, building tools for domain expert adoption, structuring ML research projects with compute budgeting, or assessing when a scientific AI tool has crossed the relevance threshold for real-world use.