Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.

Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...

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.

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

Researchers at OpenAI trained a single language model on 175 billion learned numerical weights, each one adjusted during training to predict the next word in a sequence. That model, GPT-3, ...

Learn why scalable AI needs balanced servers, storage, networking, and data access to support training, inference, and RAG at ...

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 ...

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

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

Microsoft used Build 2026 to launch seven in-house MAI models, new Cobalt 200 silicon and the Majorana 2 quantum chip, a ...

Verizon's road to Level 4 network autonomy was boosted by turning 33,000 employees into software developers earlier this year.