Introduction
In Part 1 of this series, we explored the foundations of Generative AI — what it is, how it differs from AI and ML, the challenges organizations face, and why it matters for enterprises.
But understanding the concept is only the first step. The real question is: How do you actually build Generative AI solutions on Google Cloud?
That’s exactly what we’ll cover in this article. From Vertex AI (the foundational AI platform), to Gemini models (Google’s multimodal brain), to Generative AI Studio (your prototyping playground), and vector search solutions (the memory that powers Retrieval-Augmented Generation, or RAG) — this part will help you understand the core tools and services that make Generative AI on Google Cloud possible.
Source Credit: https://medium.com/google-cloud/generative-ai-on-google-cloud-part-2-vertex-ai-gemini-and-the-core-building-blocks-b9ea1ab16af7?source=rss—-e52cf94d98af—4
