Large language models face a fundamental computational limit that causes undetected errors in complex tasks. Hybrid AI ...

Princeton’s CEO-Bench gave 14 AI models $1 million to run a simulated SaaS startup for 500 days. Most went bankrupt or lost ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

Keimyung University (President Shin Il-hee), which has led educational innovation in the Daegu-Gyeongbuk region, was selected ...

There's always a local model that can replace your AI subscription ...

SentinelOne details Gaslight, a Rust-based macOS implant linked to North Korea-aligned actors that uses prompt injection to ...

While large language model technology streamlines routine cognitive tasks like drafting, autonomous solutions represent a major shift by actively pursuing objectives rather than simply responding to p ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

Effective prompts use four core elements. Start by assigning a role, then give background context, state a clear task with an ...