Cloudflare has announced the release of Clef, a 27 billion parameter open-weight decision model, along with its smaller counterpart, Clef-flash, which features 9 billion parameters. These models are designed to return typed probabilities instead of traditional text outputs, marking a significant advancement in AI decision-making technology.
Both models are compatible with the Jev-API and can accept image inputs, showcasing their versatility in handling various data types. Clef operates with a median latency of 209.3 milliseconds, while Clef-flash achieves an impressive 38.8 milliseconds, making them suitable for real-time applications.
The introduction of these models on Cloudflare’s Workers AI platform highlights the company’s commitment to enhancing AI capabilities for enterprises, allowing for more precise and efficient decision-making processes.
Compiled automatically by the Tech AI Newsdesk from public AI-news sources and summarised in our own words.
