Exploring Generative AI Models and Architecture

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Naveed Tauhid

48:08

33 View

1. Course Overview

1. Course Overview.mp4

01:09

2. Introduction to Generative Models

1. Overview of Generative Models.mp4

04:16

2. Applications and Importance of Generative Models.mp4

03:33

3. Module Summary.mp4

00:45

3. Variational Autoencoders (VAEs)

1. Understanding the Architecture of Variational Autoencoders.mp4

03:36

2. Review of Successful Variational Autoencoders Use Cases.mp4

02:30

3. Module Summary.mp4

00:47

4. Transformers

1. Understanding the Architecture of Transformers.mp4

04:06

2. Review of Successful Transformer Use Cases.mp4

01:57

3. Module Summary.mp4

00:35

5. Chatbots

1. Understanding the Architecture of Chatbots.mp4

03:02

2. Review of Successful Chatbot Use Cases.mp4

02:16

3. Module Summary.mp4

00:25

6. Generative Adversarial Networks (GANs)

1. Understanding the Architecture of GANs.mp4

02:43

2. Review of Successful GANs Use Cases.mp4

02:12

3. Module Summary.mp4

00:41

7. Combination Models

1. Understanding the Architecture of Combination Models.mp4

03:11

2. Review of Successful Combination Models Use Cases.mp4

01:48

3. Module Summary.mp4

00:46

8. Large Language Models (LLMs)

1. Understanding the Architecture of Large Language Models LLMs.mp4

03:56

2. Review of Successful Large Language Models Use Cases.mp4

03:07

3. Module Summary.mp4

00:47

Description

Explore generative AI models and architecture and apply key architectures like VAEs, Transformers, and GANs to real-world problems.

What You'll Learn?

Are you fascinated by how AI can create new content, from images to text? Do you want to harness this power and apply it to real-world problems?

In this course, Exploring Generative AI Models and Architecture, you’ll gain the ability to understand, design, and implement generative models.

First, you’ll explore the architecture of Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs), and learn how they generate new data from existing examples.

Next, you’ll discover Transformers and their applications in language translation, text summarization, and chatbots.

Finally, you’ll learn about the architecture of combination models, and how to use them in image captioning, etc. By the end of this course, you'll have gained a greater understanding of generative AI models and architecture.

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Artificial Intelligence

Naveed Tauhid

Instructor's Courses

Navidut (Naveed) Tauhid is Unified Communication and Collaboration Consultant, Contact Center Specialist, and Architect with more than 15 years of industry experience. He has deployed, maintained and troubleshot numerous large scale enterprise UC projects for many multinationals. He has also provided training to thousands of IT students across the globe on various Unified Communication Products and helped them be their technical best. He is a certified CCIE Collaboration Written, CCNP Collaboration, Voicemail and Contact Center Specialist and CCNA Routing and Switching. He is also an Azure and AWS Cloud Certified Solution Architect. He is passionate about learning new technologies and loves sharing the knowledge.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.