Databricks released Omnigent, an open source ‘meta-harness’ for AI agents. The project ships under the Apache 2.0 license. The Databricks AI team built it with Neon. A harness is the wrapper around a ...
This repo is used in a tutorial for learning how to do DevOps for Machine Learning (also called MLOps) using Azure Databricks and Azure ML Services. The DevOps Pipelines are defined using the ...
Like every Big Tech company these days, Meta has its own flagship generative AI model, called Llama. Llama is somewhat unique among major models in that it’s “open,” meaning developers can download ...
Life insurance underwriting considers an applicant’s medical risk factors, usually provided inside free-text documents. New insurance-specific Natural Language Processing (NLP) models can ...
When it comes to foundational models and fundamental concepts of LLMs, the Databricks YouTube channel is a goldmine of knowledge. This channel offers a wide range of tutorials and talks to help you ...
Your browser does not support the audio element. I will skip the general introduction of DAB and its features and refer you to the Databricks documentation. Here, I ...
Azure AI Studio, while still in preview, checks most of the boxes for a generative AI application builder, with support for prompt engineering, RAG, agent building, and low-code or no-code development ...
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