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

OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.

Explores our fatal attraction to AI, examining emotional dependence, manipulation, authority, and agency in work and life.

All Creatures Great and Small has become something of an international phenomenon. Based on the novels by James Herriot, the series chronicles the day-to-day of a veterinary surgeon making a living ...

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

Researchers say a lightweight UAV can “smell” its way to an odour source indoors, relying on a minimal sensor setup and a reproducible simulation-to-real system.

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...