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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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