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

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.

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Bring Your Own Key (BYOK) functionality for OpenRouter allows users to seamlessly incorporate stateful capabilities ...

One of the key aspects of No Rest for the Wicked is the ability to create complex builds using the game's attribute system combined with various types of weapons and armor. Thanks to this, you can ...

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Abstract: The increasing demand for Large Language Model (LLM) applications in mobile computing poses a challenge for devices with limited resources, as they struggle to efficiently handle complex ...

This April will mark a decade since CMS launched the Comprehensive Care for Joint Replacement model, the federal government’s first mandatory, episode-based payment program applied broadly to ...

The Model S and Model X were Tesla's worst-selling EVs in 2025, despite outselling some competitors. Executives say the company's future strategy is focused on autonomous vehicles and artificial ...

Ashely Claudino is an Evergreen Staff Writer from Portugal. She has a Translation degree from the University of Lisbon (2020, Faculty of Arts and Humanities). She has been writing for Game Rant since ...

“I think the vast majority of Codex is built by Codex, so it’s almost entirely just being used to improve itself." OpenAI now says its new GPT-5.3-Codex runs 25% faster than previous versions while ...