Exploring how to get the answers and information we want from LLMs, in the way that we need.

Why run a huge, costly LLM when a smaller, distilled one can do the job faster, cheaper and with fewer hallucinations?

A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any ...

AI gives out bland mental health advice by default. Why? To a great extent, this is due to training-time patterning and ...

Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...

The more I read about the inner workings of the LLM AIs the more I fear that at some point the complexity will far exceed what anyone can understand what it is doing or its limitations. So it will be ...

AI tools can help teams move faster than ever – but speed alone isn’t a strategy. As more marketers rely on LLMs to help create and optimize content, credibility becomes the true differentiator. And ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.