Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

A friend of mine has been a software developer for most of the last five decades, and has worked with everything from 1960s ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Abstract: Electric vehicle (EV) users’ behaviors are influenced by users’ willingness, which is not directly observable. Emerging large language models (LLMs) have advantages in handling this problem.

Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds ...

Think about the last time you searched for a product. Chances are, you didn’t just type a keyword; you asked a question. Your customers are doing the same, ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

PointFive launches DeepWaste™ AI, a four-layer system to detect waste across AI models, tokens, caching, and infra.

How Specialised AI Search Engines Are Disrupting Markets and Attracting Record Investment For more than two decades, the ...

The impact on employment is undeniable, but it’s a danger for companies to think AI can replace all their workforces.

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...