Published 1/2024
Created by Yohann Taieb
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 3h 9m ) | Size:
Unlock Advanced Language Models for iOS Apps and Server Integration
What you’ll learn:
iOS Developers: Enhance your skills with advanced AI integration for creating cutting-edge mobile applications
Mobile App Enthusiasts: Dive into the world of Mobile AI and elevate your app development game
AI Enthusiasts: Explore the intersection of AI and mobile development, mastering innovative techniques
Intermediate Developers: Take your iOS development skills to the next level by incorporating powerful language models
Tech Innovators: Stay ahead in the dynamic realm of technology by mastering AI-infused iOS development practices
Requirements:
This course is designed to cater to a broad audience, including beginners. However, a basic understanding of iOS development concepts and familiarity with Swift programming language would be beneficial. No prior experience with LM Studio or advanced AI technologies is necessary, as the course provides comprehensive guidance. Learners are encouraged to have access to a Mac computer for hands-on coding exercises using Xcode. The course aims to accommodate diverse skill levels, making it accessible for both novice and experienced developers looking to integrate AI into their iOS projects
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!
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