人工智能iOS开发 Mobile AI with LM Studio: iOS Development Mastery

这是一门旨在带领学习者深入了解OpenAI语言模型工作室（LM Studio）的复杂性的课程。课程结构包括LM Studio设置和故障排除、与LM Studio的交互、从本地过渡到在线、监控和管理请求、iPhone应用程序开发工作流程、视觉LLM和图像处理，以及构建专业应用程序。通过完成这门课程，学习者将获得从服务器设置和故障排除到实际应用开发的全面技能。

由Yohann Taieb创作
MP4 |视频:h264，1280×720 |语言：英语+中英文字幕（云桥网络 机译）|课程时长:3小时9分钟|含课程文件

解锁iOS应用和服务器集成的高级语言模型

您将学到的内容:
iOS开发人员:通过高级人工智能集成增强您的技能，以创建尖端的移动应用程序
移动应用程序爱好者:潜入移动人工智能的世界，提升您的应用程序开发游戏
人工智能爱好者:探索人工智能和移动开发的交叉点，掌握创新技术
中级开发人员:通过整合强大的语言模型，将您的iOS开发技能提升到一个新的水平
技术创新者:通过掌握注入人工智能的iOS开发实践，在动态的技术领域保持领先

要求:
这门课程旨在迎合广大听众，包括初学者。然而，对iOS开发概念的基本理解和对Swift编程语言的熟悉将是有益的。没有LM工作室或高级人工智能技术的经验是必要的，因为课程提供了全面的指导。我们鼓励学员使用Mac电脑，使用Xcode进行动手编码练习。该课程旨在适应不同的技能水平，使新手和有经验的开发人员都可以将人工智能集成到他们的iOS项目中


Description:
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!