Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

Companies compete not on who owns the hardware, but on how well their models reflect reality. For the past two years, ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...

Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.

Popular large language models (LLMs) are unable to provide reliable information about key public services such as health, taxes and benefits, the Open Data Institute (ODI) has found.

Digital strategist who coined 'Answer Engine Optimization' says SEO and GEO each address only one-third of how AI ...

EXLS], a global data and AI company, announced that it has been granted 10 new U.S. patents in the last year for innovations that power solutions ...

As firms rely more heavily on AI tools, understanding their architectural limits is becoming a professional necessity ...

True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Claude isn't the most feature-rich AI chatbot, but it performs most tasks reasonably well and benefits from a well-designed ...