Large Language Model (LLM)
定义
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。
Prompt Template
A prompt template is a reusable, parameterized set of instructions for an LLM that accepts variable inputs and produces structured outputs.