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 ...

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 ...

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, ...

Abstract: Data augmentation in reinforcement learning (RL) aims to generate diverse and extensive datasets to enhance the learning process. Most existing studies on RL augmentation employ sample-based ...

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...