LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

ANALYSIS-A new, inexpensive Chinese AI model is catching up with Anthropic, OpenAI on their home turf ...

Since DeepSeek shocked markets early last year with its cheap but powerful AI model, global consumers have been faced with a ...

The rapid adoption of large language model (LLM) systems across the federal government has prompted the U.S. General Services Administration (GSA) ...

The best agentic AI innovation in 2026 includes AWS Agentcore, Google Gemini, Microsoft Copilot, Cisco, Databricks, Dell Deskside, Nutanix Agentic AI and VMware.

Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ...

AI systems rarely fail for one reason; they fail when real-world conditions introduce complexity that teams did not fully ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

With the proliferation of AI across industries, organizations will need to reevaluate what type of talent they need and how that talent performs. This will require moving to an evaluation system that ...