large language models

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Unstructured Data and LLMs with Crag Wolfe and Matt Robinson

The majority of enterprise data exists in heterogenous formats such as HTML, PDF, PNG, and PowerPoint. However, large language models do best when trained with clean, curated data. This

LLMs for Data Queries with Sarah Nagy

One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side effect is reducing ad-hoc data

Vespa.ai with Jon Bratseth

Vespa is a fully featured search engine and vector database, and it has integrated ML model inference. The project open sourced in 2017, and since then has grown to become a prominent