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

It might come as a shock to some that many open source projects have a "benevolent dictator for life" governance model.

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AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Many Caribbean professionals search for “remote jobs” but leave the location filter set to “United States.” They then apply to roles requiring US work authorisation — and are automatically rejected.

A new open-source project, WiFi DensePose, uses ordinary WiFi signals to detect human movement behind walls without cameras.

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The FlySilicon Valley startup Eon Systems claims to have successfully uploaded the mind of a fly and placed it inside a simulated environment. The uploaded mind can control a digital body and respond ...

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

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