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Google Machine Learning and Generative AI for Solutions Architects

You're reading from   Google Machine Learning and Generative AI for Solutions Architects ​Build efficient and scalable AI/ML solutions on Google Cloud

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803245270
Length 552 pages
Edition 1st Edition
Languages
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Author (1):
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Kieran Kavanagh Kieran Kavanagh
Author Profile Icon Kieran Kavanagh
Kieran Kavanagh
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Table of Contents (24) Chapters Close

Preface 1. Part 1:The Basics
2. Chapter 1: AI/ML Concepts, Real-World Applications, and Challenges FREE CHAPTER 3. Chapter 2: Understanding the ML Model Development Life Cycle 4. Chapter 3: AI/ML Tooling and the Google Cloud AI/ML Landscape 5. Part 2:Diving in and building AI/ML solutions
6. Chapter 4: Utilizing Google Cloud’s High-Level AI Services 7. Chapter 5: Building Custom ML Models on Google Cloud 8. Chapter 6: Diving Deeper – Preparing and Processing Data for AI/ML Workloads on Google Cloud 9. Chapter 7: Feature Engineering and Dimensionality Reduction 10. Chapter 8: Hyperparameters and Optimization 11. Chapter 9: Neural Networks and Deep Learning 12. Chapter 10: Deploying, Monitoring, and Scaling in Production 13. Chapter 11: Machine Learning Engineering and MLOps with Google Cloud 14. Chapter 12: Bias, Explainability, Fairness, and Lineage 15. Chapter 13: ML Governance and the Google Cloud Architecture Framework 16. Chapter 14: Additional AI/ML Tools, Frameworks, and Considerations 17. Part 3:Generative AI
18. Chapter 15: Introduction to Generative AI 19. Chapter 16: Advanced Generative AI Concepts and Use Cases 20. Chapter 17: Generative AI on Google Cloud 21. Chapter 18: Bringing It All Together: Building ML Solutions with Google Cloud and Vertex AI 22. Index 23. Other Books You May Enjoy

Implementing generative AI solutions on Google Cloud

In this section, we will create a Vertex AI Search and Conversation application that will enable us to ask questions about the contents of a set of documents. We will use some publicly available medical study reports as examples, but this pattern can be applied to many different kinds of use cases. The following are some other popular applications of this pattern:

  • Enabling users of a retail website to get information about products on the site via a question-and-answer interface, in which they can ask human language questions and get factual responses about products in the catalog.
  • Asking questions about financial documents. For example, employees in a company’s finance department could upload the company’s financial documents, such as quarterly earnings reports, and ask natural language questions about the contents of the reports to identify trends or other important information.
  • Providing natural language...
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