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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mobile-ai-with-lm-studio-ios-development-mastery/
课程评论：没有评论
课程名称：移动人工智能与LM Studio：iOS开发大师班 课程概述： 欢迎来到“高级语言模型工作室开发”课程，这是一个沉浸式学习体验，旨在带您深入了解使用开放AI的语言模型工作室（LM Studio）的复杂性。该课程涵盖了从基本设置和故障排除到语言和视觉模型在实际应用中的实施等各个方面。通过这段学习旅程，您将获得编码、服务器管理和应用开发的实践经验，提升您利用语言模型的能力。 课程结构： 模块1：LM Studio的设置与故障排除（讲座001 - 005） 在这个入门模块中，您将熟悉LM Studio环境，学习如何设置服务器、解决常见故障，并确保不同API版本之间的兼容性。了解使用正确的OpenAI框架版本的重要性，探索解决版本相关挑战的技术。 模块2：与LM Studio的互动：文本和聊天模型（讲座021 - 023） 深入了解与文本和聊天模型的实际操作。理解与OpenAI API脚本相关的细微差别，并探索不同版本的故障排除技术。实时与LM Studio后端互动，掌握使用Vim动态更改响应的步骤。 模块3：从本地到在线的过渡：ENR与服务器可访问性（讲座0040 - 0041） 解锁使您的LM Studio服务器在线可访问的潜力。探索端到端红色（ENR）技术，以实现从本地服务器到在线服务器的转换。学习将域名转发到本地IP地址的细节，并确保在线服务器的安全。 模块4：监控和管理请求（讲座0041 - 0051） 熟练掌握使用Endr架构和LM Studio界面监控和管理对语言模型的请求。学习分析请求详细信息、理解响应时间，并在不同语言模型之间无缝切换。 模块5：iPhone应用开发工作流程（讲座0050 - 0064） 踏上使用LM Studio进行移动应用开发的激动人心的旅程。理解创建iPhone应用界面的工作流程，处理网络响应，并将应用连接到LM Studio后端的步骤。 模块6：视觉大型语言模型与图像处理（讲座0070 - 0074） 探索视觉大型语言模型（LLM）和图像处理的领域。学习如何使用Python中的视觉脚本识别图像中的对象。了解准备图像数据、创建网络请求和处理响应的细节。 模块7：构建专业应用 - 旅行推荐和语言学习（讲座0090 - 0091） 通过应用您的新技能，构建专业的iPhone应用，结束您的学习旅程。创建旅行推荐应用和语言学习助手，理解如何为特定应用量身定制系统消息、修改用户界面以及实施动态响应。 总结： 完成“高级语言模型工作室开发”课程后，您将获得从服务器设置与故障排除到实际应用开发的全面技能。此课程是您充分利用OpenAI的语言模型工作室在各种实际应用中的绝佳途径。保持好奇，继续编码，不断推动语言模型应用的边界！
Welcome to "Advanced Language Model Studio Development," an immersive course designed to take you through the intricacies of working with OpenAI's Language Model Studio (LM Studio). This course provides an in-depth exploration of various aspects, ranging from fundamental setup and troubleshooting to the practical implementation of language and vision models in real-world applications. Throughout the journey, you'll gain hands-on experience with coding, server management, and app development, elevating your skills in harnessing the power of language models.Course Structure:Module 1: Introduction to LM Studio Setup and Troubleshooting (Lectures 001 - 005) In this introductory module, you'll get acquainted with the LM Studio environment. Learn how to set up the server, address common troubleshooting issues, and ensure compatibility between different API versions. Gain insights into the importance of using the correct OpenAI framework version and explore techniques to troubleshoot and resolve version-related challenges.Module 2: Interacting with LM Studio: Text and Chat Models (Lectures 021 - 023) Delve into the practical aspects of working with text and chat models. Understand the nuances of scripting with OpenAI's API, and explore troubleshooting techniques for varying versions. Witness real-time interactions with the LM Studio backend, and grasp the steps involved in changing responses dynamically using Vim. Develop a comprehensive understanding of the differences between OpenAI framework versions.Module 3: Transitioning from Local to Online: ENR and Server Accessibility (Lectures 0040 - 0041) Unlock the potential of making your LM Studio server accessible online. Explore the use of End-to-End Red (ENR) technology to transition from a local server to an online server. Learn the intricacies of forwarding domain names to local IP addresses and securing your online server. Witness a step-by-step guide to making your language model accessible from any device, opening up possibilities for broader applications.Module 4: Monitoring and Managing Requests (Lectures 0041 - 0051) Gain proficiency in monitoring and managing requests made to language models using the Endr architecture and LM Studio interface. Learn to analyze request details, understand response times, and interchange between different language models seamlessly. Acquire insights into optimizing the performance of your language model by monitoring its responses in real-time.Module 5: iPhone App Development Workflow (Lectures 0050 - 0064) Embark on an exciting journey into mobile app development using LM Studio. Understand the workflow of creating an iPhone app interface, handling network responses, and connecting the app to the LM Studio backend. Follow step-by-step instructions for creating an iOS user interface, connecting UI elements to code, and implementing network requests. Witness the integration of AIManager with LM Studio for interactive and dynamic app experiences.Module 6: Vision LLM and Image Processing (Lectures 0070 - 0074) Explore the realm of Vision Large Language Models (LLM) and image processing. Learn how to identify objects in images using the Vision script with Python. Dive into the intricacies of preparing image data, creating network requests, and handling responses. Witness the magic of integrating Vision LLM with an iOS app to generate descriptions for images, opening up possibilities for image-based applications.Module 7: Building Specialized Apps - Travel Recommendations and Language Learning (Lectures 0090 - 0091) Cap off your learning journey by applying your newfound skills to build specialized iPhone apps. Follow the creation of a travel recommendation app and a language learning companion using private language models. Understand how to tailor system messages, modify user interfaces, and implement dynamic responses for specific applications. Explore the endless possibilities of integrating language models into diverse app scenarios.Conclusion: Once you'll complete the "Advanced Language Model Studio Development" course, you will have acquired a comprehensive skill set, ranging from server setup and troubleshooting to practical app development with LM Studio. This course is your gateway to harnessing the full potential of OpenAI's Language Model Studio in diverse real-world applications. Stay curious, keep coding, and continue pushing the boundaries of what's possible with language models!
