Generative AI Course: History, Models (GANs, VAEs, Transformers) & Future Agents

Welcome to Chapter 1 of our comprehensive guide to Generative AI. In this video, we break down the fundamentals of how GenAI works, distinguishing it from traditional discriminative models. We explore the history of the technology, deep dive into core architectures like VAEs, GANs, and Transformers (including BERT and GPT), and examine the rise of LLM-powered autonomous agents. Finally, we discuss the ethical challenges, data bias, and the future of agentic systems.

Key Topics Covered:

Discriminative vs. Generative Models

Deep Dive: VAEs, GANs (DCGAN, StyleGAN), & Transformers

LLM Architectures (Encoder/Decoder)

Real-world Applications (Healthcare, Code, Robotics)

AI Agents & Autonomous Workflows

Challenges: Bias, Privacy, & Compute Costs

Видео Generative AI Course: History, Models (GANs, VAEs, Transformers) & Future Agents канала Compute Basics