Building AI Intensive Python Applications
by Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Thomas Rueckstiess, Henry Weller, Richmond Alake, Shubham Ranjan
6
AI/ML Application Design
As the landscape of intelligent applications evolves, their architectural design becomes pivotal for efficiency, scalability, operability, and security. This chapter provides a guide on key topics to consider as you embark on creating robust and responsive AI/ML applications.
The chapter begins with data modeling, examining how to organize data in a way that maximizes effectiveness for three different consumers: humans, applications, and AI models. You will learn about data storage, considering the impact of different data types and determining the best storage technology. You will estimate storage needs and determine the best MongoDB Atlas cluster configuration for your example application.
As you learn about data ...
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