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.

Learn how RAG grounds AI in plant knowledge while MCP enables safe execution to transform industrial AI recommendations into controlled, compliant actions.

Abstract: This paper presents a secure question answering framework for financial compliance using a graph-based retrieval-augmented generation (Graph-RAG) model. The system constructs a multi-layer ...

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.

Whether it's redfin pickerel in the Kennebec River or sturgeon in the Great Lakes, nearly one-third of freshwater fish ...

Someone fine-tuned an AI on the Jeffrey Epstein email dump. We ran it locally. It called us "goyim" and invited us to a party ...

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

Tesla is ending production of the Model S sedan and Model X SUV, CEO Elon Musk announced Wednesday during the company’s quarterly earnings call. The company will make the final versions of both ...

Tesla plans to end production of its Model S and Model X vehicles in the spring. The company will convert the factory space to build its Optimus robot. CEO Elon Musk stated the move is part of a shift ...

Marc Santos is a Guides Staff Writer from the Philippines with a BA in Communication Arts and over six years of experience in writing gaming news and guides. He plays just about everything, from ...

The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses ...