In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

Databricks is raising over $4 billion in Series L funding that would value the data-analytics and artificial-intelligence software company at $134 billion, an increase of 34% from its last funding ...

Current LLM evaluation tools are designed for single-machine execution. When you need to evaluate models against millions of examples - customer support tickets, documents, transactions - they don't ...

💇‍♀️ Testing INH hair extensions—full review plus styling tutorial included! #HairExtensions #INHReview #BeautyTutorial Here's what an Epstein files vote in the House could look like Off-duty pilot ...

A top data science implementation company is teaming up with OpenAI to create a new way for enterprise users to build artificially intelligent agents. The Databricks Agent Brick, deployed on the ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

Databricks, the $100 billion-valued AI data storage and analytics company, wants to help nurture fledgling companies. On Thursday, the company said it’s launching an accelerator program for seed and ...

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...