Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...

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

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding ...

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

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

Bottom line: You can build a working RAG chatbot on Azure UK South in a single day using Azure AI Foundry's guided setup. The three services you need are Azure AI Search (retrieval), Azure OpenAI ...

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...

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 ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...