You're reading from The Machine Learning Solutions Architect Handbook Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781805122500

Length 602 pages

Edition 2nd Edition

Languages

Python

Tools

MLOps

Concepts

Machine Learning

Author (1):

David Ping

View More author details

Table of Contents (19) Chapters

Preface

1. Navigating the ML Lifecycle with ML Solutions Architecture FREE CHAPTER

2. Exploring ML Business Use Cases

3. Exploring ML Algorithms

4. Data Management for ML

5. Exploring Open-Source ML Libraries

6. Kubernetes Container Orchestration Infrastructure Management

7. Open-Source ML Platforms

8. Building a Data Science Environment Using AWS ML Services

9. Designing an Enterprise ML Architecture with AWS ML Services

10. Advanced ML Engineering

11. Building ML Solutions with AWS AI Services

12. AI Risk Management

13. Bias, Explainability, Privacy, and Adversarial Attacks

14. Charting the Course of Your ML Journey

15. Navigating the Generative AI Project Lifecycle

16. Designing Generative AI Platforms and Solutions

17. Other Books You May Enjoy

18. Index

Are we close to having artificial general intelligence?

Artificial General Intelligence (AGI) is a field within theoretical AI research working to create AI systems with cognitive functions comparable to human capabilities. AGI remains a theoretical concept that’s not well defined, and its definition and opinions on its eventual realization vary. Nevertheless, loosely speaking, AGI involves AI systems/agents equipped with a broad capacity to understand and learn across many diverse domains and address diverse problems in various contexts, not just narrow expertise in one field. These systems should have the ability to generalize the knowledge they gain, transfer learning from one domain, and apply knowledge and skills to novel situations and problems like humans do.

The impressive capabilities displayed by LLMs and diffusion models have generated a lot of excitement about the potential to achieve AGI. Their ability to perform reasonably well across a wide variety of natural...