Foundation Models

Foundation models refer to large, pre-trained AI models that serve as the basis for a wide range of downstream tasks. Some generate text. Others can classify images. These models train on vast amounts of diverse data, and data scientists can fine-tune them to specific use cases, making them valuable for enterprises looking to deploy AI quickly and effectively across multiple domains.

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Foundation Models 101: a guide with essential FAQs

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Getting better performance from foundation models (with less data)

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Beyond prompting: getting production quality LLM performance with Snorkel Flow

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