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!

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!

Embark on an exciting journey into the world of advanced app development with this comprehensive course, "AI-Powered Android Apps with GPT-3". As the tech landscape continues to evolve, the integration of Artificial Intelligence (AI) into mobile applications has become a game-changer. This course empowers aspiring Android developers, from novices to experienced programmers, with the skills and knowledge needed to infuse AI capabilities into their apps seamlessly.

Whether you're a student, hobbyist, or professional developer, this course welcomes all skill levels. No prior AI experience is necessary; you will be guided through every step of the process. By the end of the course, you'll possess the expertise to craft cutting-edge Android applications that stand out in the competitive app market. Join me today to harness the immense potential of GPT-3 and redefine the future of Android app development.

What will the course cover:

• OpenAI API integration

• GPT-3

• Next.js 13 as a backend server

• Jetpack Compose

• Retrofit, Room, Dagger Hilt

• MVVM Clean architecture

• Deployment

At the end of the course, you will receive a certificate!

About the instructor:
I am an Android developer with 6 years of experience. I have successful apps in Google Play (150k+ downloads). I am willing to help and guide anybody who wants to learn how to become a great Android developer!

Click the BUY NOW button and start learning. Take the first step toward revolutionizing your Android apps!

Embark on an exciting journey into the world of advanced app development with this comprehensive course, "AI-Powered Android Apps with GPT-3". As the tech landscape continues to evolve, the integration of Artificial Intelligence (AI) into mobile applications has become a game-changer. This course empowers aspiring Android developers, from novices to experienced programmers, with the skills and knowledge needed to infuse AI capabilities into their apps seamlessly.

Whether you're a student, hobbyist, or professional developer, this course welcomes all skill levels. No prior AI experience is necessary; you will be guided through every step of the process. By the end of the course, you'll possess the expertise to craft cutting-edge Android applications that stand out in the competitive app market. Join me today to harness the immense potential of GPT-3 and redefine the future of Android app development.

What will the course cover:

• OpenAI API integration

• GPT-3

• Next.js 13 as a backend server

• Jetpack Compose

• Retrofit, Room, Dagger Hilt

• MVVM Clean architecture

• Deployment

At the end of the course, you will receive a certificate!

About the instructor:
I am an Android developer with 6 years of experience. I have successful apps in Google Play (150k+ downloads). I am willing to help and guide anybody who wants to learn how to become a great Android developer!

Click the BUY NOW button and start learning. Take the first step toward revolutionizing your Android apps!

【2023年11月更新】OPENAI DEVDAY 2023 の最新アップデートに伴いレクチャーを2本追加しました。

プログラミングを全く知らない超初心者でも、動画の通りに手順を沿っていけば誰でも動かしながら学ぶことができます。

ChatGPT  に関するア リ開発などに取り組もうとしている人にとって、参考になればと思います。OpenAI社のAPIを使ってLINEのチャットボット開発をしたことがある人にとっても、有意義な内容になると思います。

◆このコースでできること

1. Google Apps Script の基礎

2. ChatGPT (OpenAI) API について

3. ChatGPT API を Google Apps Script で使用

4. LINE に送ったメッセージを GPT-3.5-turbo/GPT-4-turbo が返答

5. LINE に過去に送ったメッセージを遡って GPT-3.5-turbo/GPT-4-turbo が返答

6. 新機能「Function Calling」を使って LINE × ChatGPT

7. ボーナスレクチャー（PR）

◆伝えたいこと

1. つくれるって『楽しい！』

2. 最先端テクノロジーを簡単にカスタマイズできる『気軽さ』

3. LINEとChatGPTを連携できる事の『可能性』

◆事前に用意して欲しいもの

1. Google のアカウント

2. LINE のアカウント

3. ChatGPT (OpenAI) のアカウント

   
   

【2023年11月更新】OPENAI DEVDAY 2023 の最新アップデートに伴いレクチャーを2本追加しました。

プログラミングを全く知らない超初心者でも、動画の通りに手順を沿っていけば誰でも動かしながら学ぶことができます。

ChatGPT  に関するア リ開発などに取り組もうとしている人にとって、参考になればと思います。OpenAI社のAPIを使ってLINEのチャットボット開発をしたことがある人にとっても、有意義な内容になると思います。

◆このコースでできること

1. Google Apps Script の基礎

2. ChatGPT (OpenAI) API について

3. ChatGPT API を Google Apps Script で使用

4. LINE に送ったメッセージを GPT-3.5-turbo/GPT-4-turbo が返答

5. LINE に過去に送ったメッセージを遡って GPT-3.5-turbo/GPT-4-turbo が返答

6. 新機能「Function Calling」を使って LINE × ChatGPT

7. ボーナスレクチャー（PR）

◆伝えたいこと

1. つくれるって『楽しい！』

2. 最先端テクノロジーを簡単にカスタマイズできる『気軽さ』

3. LINEとChatGPTを連携できる事の『可能性』

◆事前に用意して欲しいもの

1. Google のアカウント

2. LINE のアカウント

3. ChatGPT (OpenAI) のアカウント

   
   

Welcome to the best online course for learning the use of GenAI & OpenAI API in Flutter!

In this course, you will learn to build AI-powered flutter apps using the capabilities of ChatGPT and OpenAI. The OpenAI API is one of the most advanced artificial intelligence platforms available, providing a range of capabilities for natural language processing, computer vision, and more. With this API, you can create AI applications that can understand and respond to human language, generate text, perform sentiment analysis, and much more

The course is divided into several sections and each section will unveil a new feature of OpenAI for Flutter.

So we are going to start by creating a new Flutter project. After that, we will explore the OpenAI platform and the features it provides. Then we are going to link OpenAI with our Flutter app

Chat & Completion Models

After creating a Flutter project and building a simple chat GUI, we are going to use the completion models of OpenAI inside our Flutter application. So we will learn to use different completion models of OpenAI in Flutter including text Davinci 3.  Then we will explore chat models of openAI like GPT-4 and GPT 3.5 and use them in Flutter

Dealing Images With DALLE 2

After dealing with text we will explore the image-related features of OpenAI. So you will learn to generate images from text in Flutter using the DALLE-2 model. Apart from generating images you will also learn to create variations of existing images and edit them in flutter using the DALLE-2 model.

Whisper for Audio

After text and images, we will cover audio models of OpenAI for transcription and translating audio files in different languages.

• Apart from text, images, and audio you will explore other models of OpenAI and use them in Flutter

• Similarly, you will learn to use the moderation models of OpenAI in Flutter

Moderation

In this section, you will learn to use moderation models of OpenAI in Flutter to analyze text. So by using these models, we can check if the text contains some sensitive content or not.

Professional Chat App GUI

Apart from integrating different models of OpenAI in Flutter, you will also learn to create a professional chat application GUI where we are going to display our queries just like a normal chat message. Apart from that, we will also display the result of ChatGPT just like a normal chat message. Similarly, we will also display images inside our app just like any other chat application. So in other words we are going to build a fully functional chatbot app

Text To Speech

During this section, you will learn to hear the response of chatgpt using state-of-the-art speech-to-text models. So you will learn to integrate text-to-speech models in Flutter and hear the results of OpenAI models in different languages and voices

Speech To Text

After listening to the results of chatgpt models you will learn to pass your queries to chatgpt models using your voice. So we will integrate speech-to-text models in Flutter for interacting with ChatGPT using your voice

So after completing this course, you can

• Learn the use of GenAI in Flutter for building smart Flutter Applications

• Integrate Chat Models of OpenAI  in Flutter

• Use completion models of OpenAI in Flutter

• Get a Response from ChatGPT in the form stream

• Generate Images from Text using DALLE-2

• Edit Images & Create Variations of Images using DALLE-2

• Translate audio files using Whisper models of OpenAI

• Create transcription of audio files in Flutter using the Whisper model

• Use moderation models of OpenAI for text filtering

• Use Text to Speech in Flutter for converting and hearing the response of ChatGPT into voice

• Use Speech to Text in Flutter for Passing queries to ChatGPT using your voice

• Explore different models of OpenAI and use them in Flutter

By the end of this course, you will have a solid understanding of how to use the OpenAI API with Flutter and will be able to integrate AI into your own Flutter projects. You will learn how to authenticate with the API, how to make API calls, and how to process and analyze the results. You will also learn how to perform NLP tasks, such as text generation and question answering, and how to use the API for building AI-powered solutions

So if you're ready to take your skills to the next level and explore the world of AI, enroll in this course today and start building intelligent applications with the OpenAI API and Flutter!

Welcome to the best online course for learning the use of GenAI & OpenAI API in Flutter!

In this course, you will learn to build AI-powered flutter apps using the capabilities of ChatGPT and OpenAI. The OpenAI API is one of the most advanced artificial intelligence platforms available, providing a range of capabilities for natural language processing, computer vision, and more. With this API, you can create AI applications that can understand and respond to human language, generate text, perform sentiment analysis, and much more

The course is divided into several sections and each section will unveil a new feature of OpenAI for Flutter.

So we are going to start by creating a new Flutter project. After that, we will explore the OpenAI platform and the features it provides. Then we are going to link OpenAI with our Flutter app

Chat & Completion Models

After creating a Flutter project and building a simple chat GUI, we are going to use the completion models of OpenAI inside our Flutter application. So we will learn to use different completion models of OpenAI in Flutter including text Davinci 3.  Then we will explore chat models of openAI like GPT-4 and GPT 3.5 and use them in Flutter

Dealing Images With DALLE 2

After dealing with text we will explore the image-related features of OpenAI. So you will learn to generate images from text in Flutter using the DALLE-2 model. Apart from generating images you will also learn to create variations of existing images and edit them in flutter using the DALLE-2 model.

Whisper for Audio

After text and images, we will cover audio models of OpenAI for transcription and translating audio files in different languages.

• Apart from text, images, and audio you will explore other models of OpenAI and use them in Flutter

• Similarly, you will learn to use the moderation models of OpenAI in Flutter

Moderation

In this section, you will learn to use moderation models of OpenAI in Flutter to analyze text. So by using these models, we can check if the text contains some sensitive content or not.

Professional Chat App GUI

Apart from integrating different models of OpenAI in Flutter, you will also learn to create a professional chat application GUI where we are going to display our queries just like a normal chat message. Apart from that, we will also display the result of ChatGPT just like a normal chat message. Similarly, we will also display images inside our app just like any other chat application. So in other words we are going to build a fully functional chatbot app

Text To Speech

During this section, you will learn to hear the response of chatgpt using state-of-the-art speech-to-text models. So you will learn to integrate text-to-speech models in Flutter and hear the results of OpenAI models in different languages and voices

Speech To Text

After listening to the results of chatgpt models you will learn to pass your queries to chatgpt models using your voice. So we will integrate speech-to-text models in Flutter for interacting with ChatGPT using your voice

So after completing this course, you can

• Learn the use of GenAI in Flutter for building smart Flutter Applications

• Integrate Chat Models of OpenAI  in Flutter

• Use completion models of OpenAI in Flutter

• Get a Response from ChatGPT in the form stream

• Generate Images from Text using DALLE-2

• Edit Images & Create Variations of Images using DALLE-2

• Translate audio files using Whisper models of OpenAI

• Create transcription of audio files in Flutter using the Whisper model

• Use moderation models of OpenAI for text filtering

• Use Text to Speech in Flutter for converting and hearing the response of ChatGPT into voice

• Use Speech to Text in Flutter for Passing queries to ChatGPT using your voice

• Explore different models of OpenAI and use them in Flutter

By the end of this course, you will have a solid understanding of how to use the OpenAI API with Flutter and will be able to integrate AI into your own Flutter projects. You will learn how to authenticate with the API, how to make API calls, and how to process and analyze the results. You will also learn how to perform NLP tasks, such as text generation and question answering, and how to use the API for building AI-powered solutions

So if you're ready to take your skills to the next level and explore the world of AI, enroll in this course today and start building intelligent applications with the OpenAI API and Flutter!

Welcome to the comprehensive Full Stack Generative AI course, where you'll embark on an exciting journey to explore the captivating world of generative artificial intelligence (AI) and learn how to build cutting-edge applications using the powerful combination of AWS and React.

Level up your skills and become a proficient full stack developer in the fascinating field of generative AI. In this course, we'll dive deep into key concepts and techniques, providing you with hands-on experience in training and deploying mind-blowing generative models using AWS services like Amazon SageMaker. Get ready to unlock the art of generating stunning images, mesmerizing music, and captivating text using state-of-the-art AI models like GANs and transformers.

The journey doesn't end there! We'll guide you through building a mind-boggling full stack application that harnesses the immense power of generative AI. Discover how to develop the rock-solid backend using AWS Lambda, API Gateway, and DynamoDB to handle data processing, storage, and seamless API interactions. On the frontend, we'll unleash the magic of React to craft a dazzling user interface that showcases the awe-inspiring generated content.

But wait, there's more! As a extra, this course includes two extra sections that take you above and beyond the core curriculum. In Section 7, you'll uncover the secrets of responsive UI design, mastering the art of creating web applications that adapt flawlessly to every screen size and device. And in Section 8, we'll drop a tantalizing hint about something special... Let's just say it involves diving into the realm of mobile app development using React Native to bring your generative AI creations to Android devices.

By the grand finale of this comprehensive course, you'll have built an enviable foundation in full stack generative AI development, equipped with the prowess to create awe-inspiring applications that effortlessly produce remarkable art, enchanting music, and captivating text using cutting-edge AI models. With the power of the extra sections, including the Android mobile app hint, you'll be ready to expand your generative AI masterpieces to the palm of your hand.

Are you ready to ignite your creativity and unleash the limitless potential of Full Stack Generative AI? Join now and embark on this thrilling adventure, where you'll combine the forces of generative AI, AWS, and React to conquer new frontiers of innovation. Enroll today and unlock the full power of Full Stack Generative AI!

Note: Sections 7 and 8 are extra sections that elevate your skills beyond the core curriculum. Section 8 holds a special surprise hint about diving into the world of mobile app development using React Native, enabling you to extend your generative AI projects to Android devices. These captivating extras delve into the realm of responsive UI design and empower you to craft magnificent mobile apps, taking your full stack generative AI projects to unparalleled heights of brilliance.

Welcome to the comprehensive Full Stack Generative AI course, where you'll embark on an exciting journey to explore the captivating world of generative artificial intelligence (AI) and learn how to build cutting-edge applications using the powerful combination of AWS and React.

Level up your skills and become a proficient full stack developer in the fascinating field of generative AI. In this course, we'll dive deep into key concepts and techniques, providing you with hands-on experience in training and deploying mind-blowing generative models using AWS services like Amazon SageMaker. Get ready to unlock the art of generating stunning images, mesmerizing music, and captivating text using state-of-the-art AI models like GANs and transformers.

The journey doesn't end there! We'll guide you through building a mind-boggling full stack application that harnesses the immense power of generative AI. Discover how to develop the rock-solid backend using AWS Lambda, API Gateway, and DynamoDB to handle data processing, storage, and seamless API interactions. On the frontend, we'll unleash the magic of React to craft a dazzling user interface that showcases the awe-inspiring generated content.

But wait, there's more! As a extra, this course includes two extra sections that take you above and beyond the core curriculum. In Section 7, you'll uncover the secrets of responsive UI design, mastering the art of creating web applications that adapt flawlessly to every screen size and device. And in Section 8, we'll drop a tantalizing hint about something special... Let's just say it involves diving into the realm of mobile app development using React Native to bring your generative AI creations to Android devices.

By the grand finale of this comprehensive course, you'll have built an enviable foundation in full stack generative AI development, equipped with the prowess to create awe-inspiring applications that effortlessly produce remarkable art, enchanting music, and captivating text using cutting-edge AI models. With the power of the extra sections, including the Android mobile app hint, you'll be ready to expand your generative AI masterpieces to the palm of your hand.

Are you ready to ignite your creativity and unleash the limitless potential of Full Stack Generative AI? Join now and embark on this thrilling adventure, where you'll combine the forces of generative AI, AWS, and React to conquer new frontiers of innovation. Enroll today and unlock the full power of Full Stack Generative AI!

Note: Sections 7 and 8 are extra sections that elevate your skills beyond the core curriculum. Section 8 holds a special surprise hint about diving into the world of mobile app development using React Native, enabling you to extend your generative AI projects to Android devices. These captivating extras delve into the realm of responsive UI design and empower you to craft magnificent mobile apps, taking your full stack generative AI projects to unparalleled heights of brilliance.