AI Bakeoff
定义
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.
相关术语
AI 配方
了解什么是 AI 配方以及它们如何在 JieGou 中运作。配方是可重复使用的单一操作 AI 建构模组，具有结构化的输入和输出。
BYOK（自带金钥）
了解 BYOK 对 AI 自动化的意义。自带金钥让您将自己的 LLM API 金钥连接到 JieGou，实现完全的成本控制和资料隐私。
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.