Designing Generative AI Platforms and Solutions

Deploying generative AI at scale in an enterprise introduces new complexities around infrastructure, tooling, and operational processes required to harness its potential while managing risks. This chapter explores the essential components for building robust generative AI platforms and examines Retrieval-Augmented Generation (RAG), an effective architecture pattern for generative applications. Additionally, we highlight near-term generative AI solution opportunities ripe for business adoption across industries. With the right platform foundations and a pragmatic approach focused on delivering tangible value, enterprises can start realizing benefits from generative AI today while paving the way for increasing innovation as this technology matures. Readers will gain insight into the practical building blocks and strategies that accelerate generative AI adoption.

Specifically, this chapter is going to cover the following topics:

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