使用MATLAB的大型语言模型（LLM）Large Language Models (LLMs) with MATLAB

# Large Language Models (LLMs) with MATLAB® This repository contains code to connect MATLAB to the [OpenAI™ Chat Completions API](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) (which powers ChatGPT™), OpenAI Images API (which powers DALL·E™), [Azure® OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/), and both local and nonlocal [Ollama™](https://ollama.com/) models. This allows you to leverage the natural language processing capabilities of large language models directly within your MATLAB environment. ## Requirements ### MathWorks Products - Requires MATLAB release R2024a or newer. - Some examples require Text Analytics Toolbox™. ### 3rd Party Products: - For OpenAI connections: An active OpenAI API subscription and API key. - For Azure OpenAI Services: An active Azure subscription with OpenAI access, deployment, and API key. - For Ollama: An Ollama installation. ## Setup See these pages for instructions specific to the 3rd party product selected: * [OpenAI](doc/OpenAI.md) * [Azure](doc/Azure.md) * [Ollama](doc/Ollama.md) ### MATLAB Online To use this repository with MATLAB Online, click [](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/llms-with-matlab) ### MATLAB Desktop To use this repository with a local installation of MATLAB, first clone the repository. 1. In the system command prompt, run: ```bash git clone https://github.com/matlab-deep-learning/llms-with-matlab.git ``` 2. Open MATLAB and navigate to the directory where you cloned the repository. 3. Add the directory to the MATLAB path. ```matlab addpath('path/to/llms-with-matlab'); ``` ## Examples To learn how to use this in your workflows, see [Examples](/examples/). - [ProcessGeneratedTextinRealTimebyUsingChatGPTinStreamingMode.mlx](/examples/ProcessGeneratedTextinRealTimebyUsingChatGPTinStreamingMode.mlx): Learn to implement a simple chat that stream the response. - [SummarizeLargeDocumentsUsingChatGPTandMATLAB.mlx](/examples/SummarizeLargeDocumentsUsingChatGPTandMATLAB.mlx): Learn to create concise summaries of long texts with ChatGPT. (Requires Text Analytics Toolbox™) - [CreateSimpleChatBot.mlx](/examples/CreateSimpleChatBot.mlx): Build a conversational chatbot capable of handling various dialogue scenarios using ChatGPT. (Requires Text Analytics Toolbox) - [AnalyzeScientificPapersUsingFunctionCalls.mlx](/examples/AnalyzeScientificPapersUsingFunctionCalls.mlx): Learn how to create agents capable of executing MATLAB functions. - [AnalyzeTextDataUsingParallelFunctionCallwithChatGPT.mlx](/examples/AnalyzeTextDataUsingParallelFunctionCallwithChatGPT.mlx): Learn how to take advantage of parallel function calling. - [RetrievalAugmentedGenerationUsingChatGPTandMATLAB.mlx](/examples/RetrievalAugmentedGenerationUsingChatGPTandMATLAB.mlx): Learn about retrieval augmented generation with a simple use case. (Requires Text Analytics Toolbox™) - [DescribeImagesUsingChatGPT.mlx](/examples/DescribeImagesUsingChatGPT.mlx): Learn how to use GPT-4 Turbo with Vision to understand the content of an image. - [AnalyzeSentimentinTextUsingChatGPTinJSONMode.mlx](/examples/AnalyzeSentimentinTextUsingChatGPTinJSONMode.mlx): Learn how to use JSON mode in chat completions - [UsingDALLEToEditImages.mlx](/examples/UsingDALLEToEditImages.mlx): Learn how to generate images - [UsingDALLEToGenerateImages.mlx](/examples/UsingDALLEToGenerateImages.mlx): Create variations of images and editimages.