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LLM output moves beyond JSON to typed decisions with probabilities

By PulseAugur Editorial · [1 sources] ·

A new approach to LLM output aims to provide more reliable decision-making for code by moving beyond standard JSON mode. While JSON mode structures LLM responses, it doesn't convey the model's confidence level or allow for direct code branching. The proposed "typed decision" method, demonstrated with the Wity API, returns a specific choice along with probabilities for each option, enabling software to act on LLM outputs with greater certainty and safety. AI

IMPACT Enables more robust AI integration into software by providing actionable, confidence-scored outputs.

RANK_REASON Describes a new method for LLM output that improves upon existing tools like JSON mode.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM output moves beyond JSON to typed decisions with probabilities

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Tool
Describes a new method for LLM output that improves upon existing tools like JSON mode.
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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.
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product, infra
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High
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5 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 Español(ES) · Abhishek Kundagol ·

    Beyond LLM JSON mode: decisions your code can branch on

    <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fdl234ho6183n2merkfcq.png"><img alt=" " height="336" …

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