AI Bakeoff
定義
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.
関連用語
AIレシピ
AIレシピとは何か、JieGouでどのように機能するかをご紹介します。レシピは構造化された入出力を持つ、再利用可能な単一操作のAIビルディングブロックです。
BYOK（Bring Your Own Key）
BYOKがAI自動化にとってどのような意味を持つかをご紹介します。Bring Your Own Keyにより、自分のLLM APIキーをJieGouに接続し、完全なコスト管理とデータプライバシーを実現できます。
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.