This course will show you how to build secure and fully functional LLM applications right on your own machine.In this course, you will:Set up Ollama and download the Llama LLM model for local use.Customize models and save modified versions using command-line tools.Develop Python-based LLM app...
This tutorial will guide you through the process of creating a custom chatbot using [Ollama], [Python 3, and [ChromaDB] Hosting your own Retrieval-Augmented Generation (RAG) application locally means you have complete control over the setup and customization. In...
License LlamaScript is licensed under the Apache 2.0 License. Roadmap Things to come in the future: An API command to serve on Flask Plugins/Extensions handling (Help Wanted)AboutWorld’s first and simplest AI-oriented programming language using Ollama. pypi...
INFO:apps.ollama.main:get_all_models() ERROR:apps.ollama.main:Connection error: Cannot connect to host localhost:11434 ssl:default [getaddrinfo failed] INFO:apps.ollama.main:get_all_models() ERROR:apps.ollama.main:Connection error: Cannot connect to host localhost:11434 ssl:default [getaddr...
ollama.execInContainer("apt-get", "upgrade", "-y"); ollama.execInContainer("apt-get", "install", "-y", "python3-pip"); ollama.execInContainer("pip", "install", "huggingface-hub"); ollama.execInContainer( "huggingface-cli", ...
/usr/bin/env python # -*- encoding: utf-8 -*- # 如果您的源代码是UTF-8,建议使用这个 importwx importwx.aui classParentFrame(wx.aui.AuiMDIParentFrame): def__init__(self, parent): super().__init__(parent,-1, title="AuiMDIParentFrame", size=(640,480), style=wx.DEFAULT_FRAME_...
Learn to build AI Agents using LlamaIndex with advanced customization and seamless integration for powerful automation.
Once you've completed these steps, your application will be able to use the Ollama server and the Llama-2 model to generate responses to user input. Next, we'll move to the main application logic. First, we need to initialize the following components: ...
Finally, we host the fine-tuned Llama2 models using Deep Java Library (DJL) Serving on a SageMaker Real-time endpoint. In the following sections, we will dive deeper into each of these steps, to demonstrate the flexibility of SageMaker for different LLM workflows a...
使用Ollama本地离线体验SimpleRAG(手把手教程)2024-08-2375.Semantic Kernel/C#:一种通用的Function Calling方法,文末附经测试可用的大模型2024-08-2976.在SimpleRAG中使用SiliconCloud快速测试Function Calling2024-08-2977.SimpleTranslationAIAgent:基于C#与LLM的翻译AI Agent2024-08-3178.SimpleTranslationAIAgent借助...