Generative AI vs. Traditional AI

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Neural Networks Courses Self-supervised Learning Courses Prompt Engineering Courses Generative AI Courses AI Ethics Courses Data Models Courses

Course Description

Overview

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See the key differences between generative and traditional AI.

Syllabus

Introduction

Explore generative AI vs. traditional AI

1. Predictive AI Architecture

Machine learning
Supervised and unsupervised learning
Artificial neural networks
Data models

2. Generative AI Models

Foundation models
Large language models (LLMs)
Image diffusion models
Generative pre-trained transformer (GPT)

3. Generative AI Architecture

Prompt engineering
Generative adversarial networks (GANs)
Self-supervised learning
Variational autoencoder (VAE)
Building a generative AI system

4. Generative AI Legal and Ethical Issues

Traceable decision-making
Hallucination liability
Copyright training
Mass data collection and privacy
The expertise death spiral

Conclusion

Next steps for AI

Taught by

Doug Rose

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