LLMs
caution
你当前正在访问一个记录 文本补全模型 使用方法的页面。许多最新和最流行的模型都是 聊天完成模型。
¥You are currently on a page documenting the use of text completion models. Many of the latest and most popular models are chat completion models.
除非你专门使用更高级的提示技巧,否则你可能正在寻找 此页面。
¥Unless you are specifically using more advanced prompting techniques, you are probably looking for this page instead.
LLMs 是语言模型,以字符串为输入,返回字符串作为输出。
¥LLMs are language models that takes a string as input and return a string as output.
info
如果你想编写自己的 LLM,请参阅 此操作指南。如果你想贡献集成,请参阅 贡献集成。
¥If you'd like to write your own LLM, see this how-to. If you'd like to contribute an integration, see Contributing integrations.
所有 LLM
¥All LLMs
| Name | Description |
|---|---|
| AI21 | ai21} |
| AlephAlpha | alephalpha} |
| AWS SageMakerEndpoint | aws-sagemakerendpoint} |
| ChromeAI | chromeai} |
| 深度基础设施 | deepinfra} |
| 友情链接 | friendli} |
| Gradient AI | gradient-ai} |
| HuggingFaceInference | huggingfaceinference} |
| JigsawStack 提示引擎 | jigsawstack-prompt-engine} |
| Layerup 安全性 | layerup-security} |
| Llama CPP | llama-cpp} |
| RaycastAI | raycastai} |
| 复制 | replicate} |
| Writer | writer} |
| YandexGPT | yandexgpt} |