AWS debuts Strands Decider 2B, a first lightweight decision model for accelerate agentic workflows

What happened

The company said today it’s releasing an open-source decision model called Strands Decider 2B, which is designed […] The post AWS debuts Strands Decider 2B, a first lightweight decision model for accelerate agentic (AI that carries out multi-step tasks rather than answering one question) workflows appeared first on SiliconANGLE . The company said today it’s releasing an open-source decision model called Strands Decider 2B, which is designed to make decisions rapidly by eliminating the need to generate text, which eats up vast amounts of tokens and increases response latency. Amazon Web Services is a cloud computing company based in Seattle.

Amazon Web Services Inc.’s Strands Labs team has been playing around with an emerging class of lightweight artificial intelligence systems known as “decision models,” and it’s now making the fruits of that work available to the open-source community. Strands Decider 2B has been optimized for local deployments and rapid experimentation, so developers can download and run it on their own laptops as well as public cloud environments.

Decision models, also known as “System 1 models,” are very different things from the large language model (the kind of AI system trained on text to produce text)s that everyone knows and either loves or hates. Whereas LLMs respond to inputs by generating text, code, images or video, decision models simply make decisions when they’re presented with a number of predefined choices, with no other outputs.

Each decision they make is assigned a confidence score to help users judge how accurate the response is likely to be. The omission of text generation means that decision models excel in terms of speed and low latency.