Databricks built a RAG agent it says can handle every kind of enterprise search

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

Databricks KARL Agent Tackles All Enterprise Search Types via RL

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.
Hackaday

Prevent Your Denon Receiver Turning On From Rogue Nvidia Shield CEC Requests

In theory HDMI’s CEC feature is great, as it gives HDMI devices the ability to do useful things such as turning on multiple HDMI devices with a single remote control. Of course, such a ...
InfoQ

So You’ve Decided To Do a Technical Migration

Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap. She explains how to handle "bends in the road," from documentation and ...