Firehose

Developers, a new layer called Omnigent in Databricks enables engineers to define an agent once, including the model, tools, policies, and limits, and run it across any harness, reducing the need to rebuild and manage multiple instances. Omnigent integrates with the Foundation Model APIs for unified cost and governance tracking. Additionally, a new web search component called Nimble, which can adapt to specific use cases and self-learn the best retrieval methods, can be integrated to improve the accuracy and efficiency of web search. AI summary

Researchers at IBM developed a method to improve the consistency of large language models (LLMs) like GPT-4.1, which can significantly impact their reliability in mission-critical applications. By analyzing an agent's past trajectories and identifying "flat" decisions, where the model is uncertain, they created a new type of guideline that helps stabilize these decisions. This approach, called consistency guidelines, can improve the Pass^5 metric, which measures the fraction of tasks an agent succeeds on all runs, by up to 22.9 percentage points. AI summary