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AI Bakeoff

Définition

An AI Bakeoff is a structured evaluation that compares multiple AI configurations — different LLM models, prompt variations, or workflow designs — on identical inputs using LLM-as-judge automated scoring. Bakeoffs produce ranked results with statistical confidence intervals, helping teams make data-driven decisions about which model or prompt to use in production.

How Bakeoffs Work

Define 2+ arms (configurations to compare), provide test inputs (manual or auto-generated), run all arms against the same inputs, then let an LLM judge score the outputs on criteria you define. Results include per-input scores, aggregate rankings, statistical confidence intervals, and cost comparisons.

Multi-Judge Evaluation

For high-stakes decisions, Bakeoffs support multi-judge mode — 2-3 different LLM judges score independently, and inter-judge agreement is measured using Kendall's tau and Spearman's rho correlations. This reduces single-judge bias and provides more reliable rankings.

Termes associés

Recettes IA

Découvrez ce que sont les recettes IA et comment elles fonctionnent dans JieGou. Les recettes sont des blocs de construction IA réutilisables à opération unique, avec des entrées et sorties structurées.

BYOK (Bring Your Own Key)

Découvrez ce que signifie le BYOK pour l'automatisation IA. Bring Your Own Key vous permet de connecter vos propres clés API LLM à JieGou pour un contrôle total des coûts et la confidentialité des données.

Large Language Model (LLM)

A large language model (LLM) is an AI system trained on text data that can understand and generate human language, powering tasks like writing, analysis, and reasoning.

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