Margaret Qian

Nov 14, 2024 | databricks.com | Jeffrey Chen |Ahmed Bilal |Margaret Qian |Bay Foley-Cox

Many AI use cases now depend on transforming unstructured inputs into structured data. Developers are increasingly relying on LLMs to extract structured data from raw documents, build assistants that retrieve data from API sources, and create agents capable of taking action. Each of these use cases requires the model to generate outputs that adhere to a structured format.

Mar 26, 2024 | databricks.com | Jeffrey Chen |Megha Agarwal |Margaret Qian |Daya Khudia

IntroductionAfter a whirlwind year of developments in 2023, many enterprises are eager to adopt increasingly capable generative AI models to supercharge their businesses. An essential component of this push requires the ability to query state-of-the-art large language models and incorporate them into existing enterprise workstreams.