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.

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

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...

Go to the app's settings menu, then select Manage all history. Select Delete to wipe your all-time viewing history or for specific periods. Under the Controls tab, select Turn off YouTube history ...

Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

In a Reddit post, a techie shared how his colleague was fired for using AI to write code that later caused a production issue. “Using AI in your job instead of understanding code got my colleague ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

The Terry College of Business campus in Athens, Georgia blends historic architecture with modern academic space – home to one ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: In recent years, Low Earth Orbit (LEO) satellite signals of opportunity (SOPs) positioning technology has emerged a significant alternative to the Global Navigation Satellite System (GNSS), ...