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You're reading from  The Definitive Guide to Google Vertex AI

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781801815260
Edition1st Edition
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Authors (2):
Jasmeet Bhatia
Jasmeet Bhatia
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Jasmeet Bhatia

Jasmeet is a Machine Learning Architect with over 8 years of experience in Data Science and Machine Learning Engineering at Google and Microsoft, and overall has 17 years of experience in Product Engineering and Technology consulting at Deloitte, Disney, and Motorola. He has been involved in building technology solutions that focus on solving complex business problems by utilizing information and data assets. He has built high performing engineering teams, designed and built global scale AI/Machine Learning, Data Science, and Advanced analytics solutions for image recognition, natural language processing, sentiment analysis, and personalization.
Read more about Jasmeet Bhatia

Kartik Chaudhary
Kartik Chaudhary
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Kartik Chaudhary

​Kartik is an Artificial Intelligence and Machine Learning professional with 6+ years of industry experience in developing and architecting large scale AI/ML solutions using the technological advancements in the field of Machine Learning, Deep Learning, Computer Vision and Natural Language Processing. Kartik has filed 9 patents at the intersection of Machine Learning, Healthcare, and Operations. Kartik loves sharing knowledge, blogging, travel, and photography.
Read more about Kartik Chaudhary

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Summary

Vertex AI GenAI is a powerful suite of tools that can be used to create a wide variety of GenAI applications. With its easy-to-use interface and extensive library of pre-trained models, Vertex AI GenAI makes it possible for developers of all skill levels to get started with GenAI quickly and easily.

We hope that now, after reading this chapter, you possess foundational and practical knowledge about GenAI and its implementation using Vertex AI. With the skills to interact with and leverage foundation models, comprehension of basic prompt engineering, and an understanding of safety features native to Google’s GenAI models, you are now well-equipped to embark on practical endeavors and explore innovative applications using GenAI.

In the next chapter, Chapter 13, Document AI – An End-to-End Solution for Processing Documents, we will go over how you can use Google Cloud’s Document AI solution to extract information from scanned documents and structure...

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The Definitive Guide to Google Vertex AI
Published in: Dec 2023Publisher: PacktISBN-13: 9781801815260

Authors (2)

author image
Jasmeet Bhatia

Jasmeet is a Machine Learning Architect with over 8 years of experience in Data Science and Machine Learning Engineering at Google and Microsoft, and overall has 17 years of experience in Product Engineering and Technology consulting at Deloitte, Disney, and Motorola. He has been involved in building technology solutions that focus on solving complex business problems by utilizing information and data assets. He has built high performing engineering teams, designed and built global scale AI/Machine Learning, Data Science, and Advanced analytics solutions for image recognition, natural language processing, sentiment analysis, and personalization.
Read more about Jasmeet Bhatia

author image
Kartik Chaudhary

​Kartik is an Artificial Intelligence and Machine Learning professional with 6+ years of industry experience in developing and architecting large scale AI/ML solutions using the technological advancements in the field of Machine Learning, Deep Learning, Computer Vision and Natural Language Processing. Kartik has filed 9 patents at the intersection of Machine Learning, Healthcare, and Operations. Kartik loves sharing knowledge, blogging, travel, and photography.
Read more about Kartik Chaudhary