With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.
Databricks' KARL agent matches Claude Opus 4.6 accuracy with 33% lower cost and 47% less latency by learning to stop ...
Adaptive Instructed-Retriever dynamically decides when queries need additional search steps, aiming to improve answer quality without driving up enterprise AI costs.
Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier ...
In one test described by Databricks, Adaptive Instructed-Retriever verified that a company did not explicitly list ...
OpenAI's new Data agent for ChatGPT Work has no published benchmark, while rival Databricks released one the same week — a ...
U.S. cybersecurity and intelligence agencies say that six Chinese AI companies conducted industrial-scale distillation ...
Databricks AI agent KARL uses reinforcement learning to optimize search, cutting costs by 33% and latency by 47%.
Researchers describe the steps they took to manipulate DNA and proteins -- essential building blocks of life -- to create cells that look and act like cells from the body. This accomplishment, a first ...
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