Local LLM function calling Overview The local-llm-function-calling project is designed to constrain the generation of Hugging Face text generation models by enforcing a JSON schema and facilitating the formulation of prompts for function calls, similar to OpenAI's function calling feature, but actually...
首先需要讨论一下为什么需要function calling,以及这种机制可以用来干什么。随便举个例子,现在有一些做具身智能的公司,llm当脑子,然后控制身体进行动作从而完成任务。容易想到,必然需要使用代码来处理llm的输出,这是有别于现在大多数纯对话的应用的,即将llm输出返回给用户就可以了。那么这里自然出现一个问题,llm的输出要使...
A tool for generating function arguments and choosing what function to call with local LLMs - local-llm-function-calling/poetry.lock at main · genostack/local-llm-function-calling
https://www.youtube.com/watch?v=RfIXVlMEi4c这视频咱们要玩儿个新鲜的,试试phidata库,造一个能用上记忆、知识和工具的大佬级LLM。咱们得写个代码片段,用Llama 3、Ollama和Phidata来调用指令。接下来瞧见没,咱要把任何LLM都变身为贴身小秘书。想动手操作?跟我一起!试
Implement tools and function calling to enhance model interactions for advanced workflows. Set up a user-friendly UI frontend to allow users to interface and chat with different Ollama models. Requirements Basic Python Programming Knowledge Comfort with Command Line Interface (CLI) ...
无需昂贵的云服务或GPU🦙 [https://github.com/mudler/LocalAI](https://github.com/mudler/LocalAI) LocalAI可以运行: ***文本转语音**模型 ***音频转录** ***图像生成** ***函数调用** ***LLM**(带有llama.cpp、transformers和许多其他) *只需点击几下,就可以在社区的数百个模型之间进行选择!
无需昂贵的云服务或GPU🦙 [https://github.com/mudler/LocalAI](https://github.com/mudler/LocalAI) LocalAI可以运行: **-文本转语音模型** **-音频转录** **-音频生成** **-图像生成** **-函数调用** **-LLM(带有llama.cpp、transformers和许多其他)** 只需点击几下,就可以在社区的数百个...
Besides just failing the prompt, the biggest problem I’ve had with FIM is LLMs not know when to stop. For example, if I ask it to fill out this function (i.e. assign somethingr): defnorm(x:float,y:float)->float):returnr
接口调用:提供多种使用模型的接口,包括 OpenAI 兼容的 RESTful API(包括 Function Calling),RPC,命令行,web UI 等等。方便模型的管理与交互。 集群计算,分布协同: 支持分布式部署,通过内置的资源调度器,让不同大小的模型按需调度到不同机器,充分使用集群资源。 开放生态,无缝对接: 与流行的三方库无缝对接,包括 Lang...
Ollama is a free and open-source command-line interface tool that allows you to run open embedding models and LLMs locally and privately on your Linux, Windows, or macOS systems. You can access Ollama as a service using SQL and PL/SQL commands. ...