English(EN) How to Read OpenAI's New Decisions API Score: Rounding It Can Pick a Level the Model Gave 0%

OpenAI的Decisions API允许对模型输出进行自定义置信度评分

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 06:20

OpenAI推出了一项新的Decisions API，允许用户为模型输出指定置信度分数阈值。此功能使开发人员能够控制模型响应所需的确定性级别，防止其输出模型认为正确概率低的信息。该API的评分机制可以进行四舍五入，这可能导致模型将某些输出的评分设为0%。 AI

影响使开发人员能够微调模型输出的置信度，可能提高在特定应用中的可靠性。

排序理由这是对现有API的产品更新，而不是新的前沿模型发布或重大的行业事件。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 这是对现有API的产品更新，而不是新的前沿模型发布或重大的行业事件。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

Towards AI TIER_1 English(EN) · Chew Loong Nian - AI ENGINEER · 2026-10-08 06:20

如何解读OpenAI的新决策API分数：四舍五入可能导致模型给出0%的评级

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