Databricks' KARL agent matches Claude Opus 4.6 accuracy with 33% lower cost and 47% less latency by learning to stop searching when it has enough ...
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' ...
SAN FRANCISCO, May 27, 2026--(BUSINESS WIRE)--Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and optimizes across Databricks, ...
Databricks introduced a public preview of GPU and LLM optimization support for Databricks Model Serving. This new feature enables the deployment of various AI models, including LLMs and Vision models, ...
Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don’t have squeaky clean data. Databricks, a company that helps big businesses ...
Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier model quality in half the time.
Databricks Inc. today unveiled a new suite of tools aimed at simplifying the development of artificial intelligence agents for enterprise use. The centerpiece of the announcement is Mosaic Agent ...
Databricks unveiled new large language model and GPU optimization capabilities in Model Serving in a move designed to enable customers to improve generative AI outcomes. Databricks launched Model ...
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