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.

The world's largest supplier of Rolls-Royce engine maintenance services is working with Kyndryl to modernise its IT infrastructure, build a single source of truth for data and scale up the use of AI a ...

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

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

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

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

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

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

Naver Cloud is building a next-generation HyperCLOVA X, reported by ETNews at around 500 billion parameters, built around ...

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

As enterprises race to scale AI, the biggest obstacle to performance and ROI may be the infrastructure moving data, not the hardware processing it. Enterprise AI has entered a new phase. For the past ...

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, ...