A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More While large language models (LLMs) are becoming increasingly effective at ...

The new technique lets LLMs adapt computation to problem difficulty, reducing energy use and enabling smaller models to ...

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.

E veryone knows that AI still makes mistakes. But a more pernicious problem may be flaws in how it reaches conclusions. As ...

Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to ...

Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial technique for enhancing the performance and alignment of AI systems, particularly large language models (LLMs). By ...

For the past decade, progress in artificial intelligence has been measured by scale: bigger models, larger datasets, and more ...

In my last article, I made the case for an AI winners-and-losers type of year - not an "everybody wins with AI" year. Yes, AI might be lifting tech stock prices (for now), but it's not magical pixie ...

Large language models (LLMs) like OpenAI's ChatGPT all suffer from the same problem: they make stuff up. The mistakes range from strange and innocuous -- like claiming that the Golden Gate Bridge was ...