Reactive Machines

Chain-of-thought (CoT) information is a common de-facto method of eliciting responses such as reasoning from large linguistic models (LLMs), allowing…

One of the first pre-processing steps for creating web-scale LLM pretraining datasets involves extracting text from HTML. Despite the great…

A severe labor shortage is hampering growth in all industries, transport, construction and agriculture. The problem is critical in design:…

In precision medicine, researchers developing diagnostic tests for early disease detection face a critical challenge: datasets containing thousands of potential…

This post is cowritten by Jeff Boudier, Simon Pagezy, and Florent Gbelidji from Hugging Face. Agentic AI systems represent an evolution from…

Who ever had a good idea about the request, only to face this reality fear of developmentwhich may take weeks,…

The increasing size of Large-Language Models (LLMs) makes efficient expression challenging, primarily due to the memory requirements of the Autoregressive…

Machine learning is widely used for prediction, but not all data behaves the same. A common mistake is applying standard…

In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings along four dimensions: capacity, price performance, observability, and…

Amazon Quick supports Model Context Protocol (MCP) integrations for action execution, data access, and AI agent integration. You can expose your…