Liquid AI’s d1-ultra Ranks First on a Decision-Model Benchmark

Image: TokenPost
Liquid AI’s d1-ultra has taken the top position on a decision-model benchmark, putting a system that assigns probabilities to predefined answers first across tests of knowledge, reasoning, tools and safety. The model accepts text, images or both and returns probabilities for answers supplied with a question. That differs from open-ended text generation: d1-ultra evaluates a set of choices and indicates how likely each answer is. Potential applications include detecting product defects in images and reviewing damage claims alongside customer photos. The Decision Index combines four evaluation areas: knowledge and hallucination, reasoning, tool calling, and safety classification. Each receives 25% of the total weight. Within the knowledge-and-hallucination category, accuracy and non-hallucination rate each account for 12.5% of the overall index.
Read the full story on TokenPostBeCrypto News shows a short excerpt and links to the publisher. The full report belongs to TokenPost.







