A Common - Sense Guide to AI Engineering Build Production - Ready LLM Applications

A Common - Sense Guide to AI Engineering Build Production - Ready LLM Applications | 4.04 MB
Title: A Common - Sense Guide to AI Engineering Build Production - Ready LLM Applications
Author: Jay Wengrow
Category: Artificial Intelligence & Semantics, Computer Programming
Language: English | 628 Pages | ISBN: 979-8888651940
Description:
Build robust LLM-powered apps, chatbots, and agents while mastering AI engineering principles that will help you outlast the tools and the hype.
Want to build an LLM-powered app but don't know where to begin? With this step-by-step guide, you can master the underlying principles of AI engineering by building an LLM-powered app from the ground up. Tame unpredictable models with prompt and context engineering. Use evals to keep them on track. Give chatbots the knowledge to answer anything a user wants to know. Equip agents with the tools and smarts to actually get the job done. By the end, you'll have the intuition and the confidence to build on top of LLMs in the real world.
Fragmented documentation, obsolete tutorials, and frameworks that deliver a prototype but flop in production can make AI engineering feel overwhelming. But it doesn't have to be that way. With real-world code and step-by-step instructions as your guide, you can learn to build robust...
DOWNLOAD:
https://rapidgator.net/file/4e576878b09afeea1b4c8462da6e1a6c/A_Common-Sense_Guide_to_AI_Engineering_Build_Production-Ready_LLM_Applications.rar
https://nitroflare.com/view/4BAFDD130901314/A_Common-Sense_Guide_to_AI_Engineering_Build_Production-Ready_LLM_Applications.rar
Build robust LLM-powered apps, chatbots, and agents while mastering AI engineering principles that will help you outlast the tools and the hype.
Want to build an LLM-powered app but don't know where to begin? With this step-by-step guide, you can master the underlying principles of AI engineering by building an LLM-powered app from the ground up. Tame unpredictable models with prompt and context engineering. Use evals to keep them on track. Give chatbots the knowledge to answer anything a user wants to know. Equip agents with the tools and smarts to actually get the job done. By the end, you'll have the intuition and the confidence to build on top of LLMs in the real world.
Fragmented documentation, obsolete tutorials, and frameworks that deliver a prototype but flop in production can make AI engineering feel overwhelming. But it doesn't have to be that way. With real-world code and step-by-step instructions as your guide, you can learn to build robust...
DOWNLOAD:
https://rapidgator.net/file/4e576878b09afeea1b4c8462da6e1a6c/A_Common-Sense_Guide_to_AI_Engineering_Build_Production-Ready_LLM_Applications.rar
https://nitroflare.com/view/4BAFDD130901314/A_Common-Sense_Guide_to_AI_Engineering_Build_Production-Ready_LLM_Applications.rar
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