A jailbroken PS5 has been turned into a local AI server capable of running a 27B LLM at around 20 tok/s, while smaller models ...

Explore LLM architectures, general-purpose limitations, and why adapting models through Fine-Tuning and RAG is the real ...

Large language models (LLMs) output language, but they are commonly tasked with making a decision or classification of some ...

LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...

Overview LLM applications require careful model selection, relevant data, and clear instructions to deliver dependable ...

Small Language Models or SLMs are on their way toward being on your smartphones and other local devices, be aware of what's coming. In today’s column, I take a close look at the rising availability ...

A three-week-old artificial-intelligence model called Jev has set Silicon Valley circles abuzz with discussions around alternatives to large language models, and is already sparking copycats.

Most LLMs cannot reliably evaluate text on the level of individual letters. A technique called byteification retrofits ...

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

A 42-of-42 failure rate in our LLM benchmark was a parser bug. How we found it, fixed our scorer without fudging results, and ...