Large Language Model (LLM)
定義
A large language model (LLM) is a neural network trained on massive text corpora that can understand instructions, reason about data, and generate human-quality text. LLMs power the AI capabilities in platforms like JieGou — when a recipe runs, it sends a structured prompt to an LLM (such as Claude, GPT, or Gemini) and receives a text response that is parsed into structured output fields.
Multi-Model Support
JieGou supports 9+ LLM providers: Anthropic (Claude), OpenAI (GPT), Google (Gemini), Mistral, and self-hosted models via Ollama or vLLM. Each recipe can use a different model, and AI Bakeoffs let you compare model performance on the same task to find the best fit.
BYOK (Bring Your Own Key)
With BYOK, organizations use their own API keys for LLM providers, giving them direct billing control, enterprise rate limits, and data processing agreements with the model provider. JieGou encrypts all API keys with AES-256-GCM.
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。
Prompt Template
A prompt template is a reusable, parameterized set of instructions for an LLM that accepts variable inputs and produces structured outputs.