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Microsoft has released Microsoft-Decision-1, a specialized decision-scoring model derived from Alibaba's Qwen3.5-9B that outputs calibrated probabilities for fixed options rather than generating open-ended text. This tool is designed to enhance agent control and verification workflows within the Microsoft Foundry ecosystem by providing structured routing and classification capabilities. The release marks a significant step in refining how large language models handle deterministic decision-making tasks compared to traditional generative approaches.
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Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model
MarkTechPost1 min read
Microsoft has released Microsoft-Decision-1, a decision model for routing, classification, verification and agent control. Microsoft-Decision-1 is a decision-scoring model that returns a calibrated probability for each fixed answer option instead of generated text. It is post-trained from Alibaba’s Qwen3.5-9B and available now in Microsoft Foundry and OpenRouter. TL;DR What is a decision model? A decision […] The post Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model appeared first on MarkTechPost.
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