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.

When Leo Wang arrived at Carnegie Mellon University from Hong Kong, he was already fascinated by robots. But it wasn’t until he joined the Robomechanics Lab led by Aaron Johnson that his interest ...

LLM answers vary widely. Here’s how to extract repeatable structural, conceptual, and entity patterns to inform optimization ...

Researchers compare two solutions for approximating LLM rankings of Claude 4, GPT-4o, Gemini 2.5, and Grok-3. Researchers published the results of a study showing how AI search rankings can be ...

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

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.

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

Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual ...

A 2026 Gold Standard Python-based Retrieval-Augmented Generation (RAG) system for querying BakkesMod SDK documentation. Built for autonomous AI agents with enterprise-grade observability, cost ...

Artificial intelligence is entering the era of self-improvement. On Thursday afternoon, OpenAI released a new cutting-edge coding model that the company said assisted in its own creation.