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Tim Fernholz

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Tim Fernholz sur AI model category adoption, model design and deployment, workflow integration rationale. Explorez 3 points de vue par thème, avec des éléments tirés de 1 source.

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AI model category adoption

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AI model category adoption

Decision models gain traction as LLM alternatives

Amazon Web Services released an open-source decision model inspired by TypeSafe’s Jev, reflecting growing developer interest in AI intelligence better suited to computer automation than frontier LLMs.

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Tim Fernholz·

Amazon releases its own Jev clone as decision models flood the web | TechCrunch

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Amazon Web Services released an open-source decision model inspired by TypeSafe’s Jev , with AI developers increasingly seeking intelligence that is more suited to computer automation than frontier LLMs.
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model design and deployment

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model design and deployment

Strands Decider 2B offers fast, low-cost, local decision-making with confidence scoring

Amazon’s Strands Decider 2B is a high-speed, low-cost, fully open-sourced model that selects among pre-defined options and provides a measure of confidence in its choice; it is small enough to run locally.

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Tim Fernholz·

Amazon releases its own Jev clone as decision models flood the web | TechCrunch

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Amazon’s Strands Decider 2B, released the same week OpenAI announced a similar offering , is a high-speed, low-cost way to sort between pre-decided options and deliver a measure of how confident it is in its choice. The model is fully open-sourced, available now, and small enough to run locally.
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workflow integration rationale

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workflow integration rationale

Decision models serve as reliable, low-latency workflow steps

Marc Brooker told TechCrunch that decision models could choose the next step in a workflow from a fixed set of answers. He cited confidence scores, lower latency, and potentially lower cost as reasons to use them.

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Tim Fernholz·

Amazon releases its own Jev clone as decision models flood the web | TechCrunch

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“What originally piqued my interest in this class of models was that they make a perfect decider for a workflow step— ‘what is the next thing for me to do here, based on where I am?’” Brooker told TechCrunch. He said it offers customers “a workflow step that can be structured in a way that is more reliable, thanks to the confidence scores, thanks to the closed domain of answers, [and is] lower latency, potentially lower cost.”
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