Building Generative AI Services with FastAPI by Ali Parandeh (.ePUB)

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File Size: 25.2 MB

Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications (Final Release) by Ali Parandeh
Requirements: .ePUB reader, 25.2 MB
Overview: Ready to build applications using Generative AI? This practical book outlines the process necessary to design and build production grade AI services with a FastAPI web server that communicate seamlessly with databases, payment systems, and external APIs. You’ll learn how to develop autonomous generative AI agents that stream outputs in real-time and interact with other models. Web developers, data scientists, and DevOps engineers will learn to implement end-to-end production-ready services that leverage Generative AI. You’ll learn design patterns to manage software complexity, implement FastAPI lifespan for AI model integration, handle long-running generative tasks, perform content filtering, cache outputs, implement retrieval augmented generation (RAG) with a vector database, implement usage/cost monitoring and tracking, protect services with your own authentication and authorization mechanisms, and effectively control stream outputs directly from GenAI models. You’ll explore efficient testing methods for AI outputs, validation against databases, and deployment patterns using Docker for robust microservices in the cloud. The book does assume some experience with Python, with Docker for deployment, with how the web works, and with communicating through the HTTP protocol.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://trbt.cc/fkfrilga8wks.html

https://katfile.com/azisj8ndl1lj/Building_Generative_AI_Services_with_FastAPI.epub.html