We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.

The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...

For the past few years, my world of AI was limited to the big names like ChatGPT and Gemini. But when my colleagues at XDA started sharing their experiences with self-hosted LLMs, my curiosity was ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

SunFounder Fusion HAT+ for Raspberry Pi 5/4/3B+ and Zero single board computers is a motor control and GPIO expansion board ...

Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical ...

Even if the LLM funding bubble bursts, enterprise AI adoption-driven by agentic systems and real use cases-will remain intact ...

Just because it walks like a duck and talks like a duck, it might not be a duck. And the same could be true for LLMs.

It’s time to move past large language models and create a new narrative. The hiccups we’ve experienced from large language models and generative AI — a still-novel technology — since its inception a ...

Nobody has shown more vividly how all this overreliance on statistics in LLMs plays out than the AI safety researcher Owain ...

The latest trends in software development from the Computer Weekly Application Developer Network. Many of our core enterprise computing infrastructure core contrasts are changing. Where we were ...