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Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation

An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of...

Optimizing Databricks LLM Pipelines with DSPy

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools...

DSPy on Databricks

Large language models (LLMs) have generated interest in effective human-AI interaction through optimizing prompting techniques. “Prompt engineering” is a growing methodology for tailoring...