Model distillation is one of the technology trends that has reached a level of maturity identified in Gartner’s 2025 Hype Cycle for artificial intelligence (AI) as “the slope of enlightenment”.

Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing (NLP) tasks, yet they face significant challenges when applied to educational contexts. This paper ...

Forbes contributors publish independent expert analyses and insights. There’s a new wrinkle in the saga of Chinese company DeepSeek’s recent announcement of a super-capable R1 model that combines high ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Chinese artificial intelligence lab DeepSeek roiled markets in January, setting off a massive tech and semiconductor selloff after unveiling AI models that it said were cheaper and more efficient than ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...