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Mastering AI Models with Hands-On Google Colab Projects

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Mastering AI Models with Hands-On Google Colab Projects, available at $54.99, with 30 lectures, 1 quizzes, and has 5 subscribers.

You will learn about Create Question and Answer Chatbot Using Colab, Llama 3, Mistral-7B and GPT2 Models Generate Images from Text Using Colab and Stable Diffusion Model Image Recognition Using Colab and GPT-4o API Generate Voice Using Colab and Bark Model Generate Video Using Colab and text-to-video-ms-1.7b Model This course is ideal for individuals who are People who are curious about AI or People who wanna interact with AI Models or People who are interested in showcases of using AI models or People who wanna run AI Models on Google Colab It is particularly useful for People who are curious about AI or People who wanna interact with AI Models or People who are interested in showcases of using AI models or People who wanna run AI Models on Google Colab.

Enroll now: Mastering AI Models with Hands-On Google Colab Projects

Summary

Title: Mastering AI Models with Hands-On Google Colab Projects

Price: $54.99

Number of Lectures: 30

Number of Quizzes: 1

Number of Published Lectures: 30

Number of Published Quizzes: 1

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

  • Create Question and Answer Chatbot Using Colab, Llama 3, Mistral-7B and GPT2 Models
  • Generate Images from Text Using Colab and Stable Diffusion Model
  • Image Recognition Using Colab and GPT-4o API
  • Generate Voice Using Colab and Bark Model
  • Generate Video Using Colab and text-to-video-ms-1.7b Model

Who Should Attend

  • People who are curious about AI
  • People who wanna interact with AI Models
  • People who are interested in showcases of using AI models
  • People who wanna run AI Models on Google Colab

Target Audiences

  • People who are curious about AI
  • People who wanna interact with AI Models
  • People who are interested in showcases of using AI models
  • People who wanna run AI Models on Google Colab

Table of Contents

  • How to use Google Colab

  • Translation text use NLLB Model

  • QnA with Llama 3  Model and Mistral-7B  Model based on FaQ

  • QnA with GPT-2  Model based on a JSON File

  • Image Generation with Stable Diffusion Model

  • Image Recognition with GPT-4o Model

  • Voice Generation with Bark Model

  • Text to Video with text-to-video-ms-1.7b Model

Description

  • How to use Google Colab

    • How to create a Google Colab project

    • How to run a python project on Colab

    • How to choose GPU

    • How to use external File on Colab

    • How to use file from Google Driver on Colab

    • How to use Hugging Face token and ChatGPT token from Colab

  • Translation text use NLLB Model

    Based on a text in german, using NLLB Model we can translate it to english. NLLB Model supports for more than 200 languages as input and output.

  • QnA with Llama 3  Model and Mistral-7B  Model based on FaQ

    An FaQ text file was prepared, by using Llama 3 Model or Mistral-7B Model, questions about this FaQ file can be raised and the Chatbot will give answer based on the FaQ file.

  • QnA with GPT-2  Model based on a JSON File
    Information about a dummy company profile was prepared in a json file, by using GPT-2 Model, the Chatbot will give answer based on the company profile, if related question is raised.

  • Image Generation with Stable Diffusion Model

    Based on text, an image will be generated by using stable diffusion model.

  • Image Recognition with GPT-4o Model

    Given a image of a Sculpture, using GPT-4o model, it will tell you what is inside the image and give you information about the sculpture.

  • Voice Generation with Bark Model
    Based on the voice you provide, the Bark model tries to generate a voice file for text snippets.

  • Text to Video with text-to-video-ms-1.7b Model
    Given a text description about a scenario, the text-to-video-ms-1.7b will generate a video for you.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Use Cases in this course

Chapter 2: Translation with NLLB Model on Colab

Lecture 1: Introduction

Lecture 2: Create a Google Colab project

Lecture 3: Set up environment

Lecture 4: Coding and Run Project

Lecture 5: Download and Upload Colab Project

Lecture 6: How to support and translate other languages

Chapter 3: Question and Answer (QnA) with Llama 3 Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: Run the Llama 3 Model

Chapter 4: Question and Answer (QnA) with Mistral-7B Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: Run the Mistral-7B Model

Chapter 5: Question and Answer (QnA) with GPT-2 Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: About the Training Data

Lecture 4: Run the GPT-2 Model

Chapter 6: Image Generation with Stable Diffusion Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: Run the Stable Diffusion Model

Chapter 7: Image Recognition with GPT-4o Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: Run the GPT-4o Model

Chapter 8: Clone a Voice with Bark Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: Run the Bark Model

Chapter 9: Text to Video with text-to-video-ms-1.7b Model

Lecture 1: Introduction

Lecture 2: Preparation

Lecture 3: Run the text-to-video-ms-1.7b Model

Chapter 10: Summary

Lecture 1: Summary

Instructors

  • Yu Li
    Yu Li
    Software developer and Founder

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Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


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