Amazon releases open-source decision model inspired by Jev
Amazon Web Services has launched Strands Decider 2B, an open-source decision model designed for automated workflows and agentic AI systems. The tool is optimized to make quick decisions between pre-defined options while providing confidence scores—offering a more cost-effective alternative to large language models (LLMs) in certain use cases. It was developed by Amazon engineer Marc Brooker after experimenting with TypeSafe’s Jev model, which sparked interest due to its potential for structured decision-making within AI workflows. Strands Decider is built on the Qen3.5-2B LLM
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Topics: AI AWS innovation decision-making AI open-source models