After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines the common components of a...

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The post details the construction of a generative AI platform, highlighting the common components such as context enhancement, guardrails, model routers, gateways, and caching techniques. It explores the complexities of context construction through retrieval-augmented generation (RAG) and the necessity of guardrails for input and output protection. The article also discusses the importance of adding routers and gateways for handling multiple models, optimizing for cost and latency, and ensuring security. Observability and orchestration principles for managing extensive AI application flows are also covered.

Building A Generative AI Platform

Step 5. Add complex logic and write actions

<p>Good post, goes in great detail in the holistic of the solution</p>
