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.
相關術語
AI 配方
了解什麼是 AI 配方以及它們如何在 JieGou 中運作。配方是可重複使用的單一操作 AI 建構模組，具有結構化的輸入和輸出。
BYOK（自帶金鑰）
了解 BYOK 對 AI 自動化的意義。自帶金鑰讓您將自己的 LLM API 金鑰連接到 JieGou，實現完全的成本控制和資料隱私。
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.