AWS, Cloudflare, and Databricks have all followed Jev’s lead, with decision models rapidly becoming a standard offering.
1 hours ago
Beating AI Insight News Flash: After Jev’s launch, AWS, Cloudflare, and Databricks have all recently rolled out their own decision models. AWS introduced the open-source Strands Decider 2B, built on Qwen3.5-2B. It removes the text generation module, replaces it with a decision module dedicated to answer selection, and is fine-tuned via LoRA. Official tests show its median single decision latency on an RTX 3090 is approximately 115ms, with full training taking around 11 hours. Cloudflare released Clef and Clef-flash simultaneously, modified from Qwen3.8-27B and Qwen3.5-9B respectively, and both are fully open-source. In Cloudflare’s tests on Jev’s official evaluation set, the Clef series outperformed Jev in 3 out of 4 task categories; Clef-flash has a median latency of 38.8ms, compared to Jev’s 524.1ms. Databricks has integrated this capability directly into its platform. The newly launched ai_decide can be called via SQL or REST API, used for data classification, scoring, and agent routing, and its interface is fully compatible with TypeSafe AI API. The company notes a single decision returns in under one second. From developers’ own builds to follow-ups by AWS, Cloudflare, and Databricks, decision models are rapidly evolving from a new concept to a standard component in agent infrastructure.
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