April 2026
Intermediate
322 pages
10h 31m
Portuguese (Portugal, Brazil)
book
IA generativa no Microsoft Azure (Portuguese Edition)
by Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez
Content preview from IA generativa no Microsoft Azure (Portuguese Edition)
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Capítulo 7. GenAIOps e LLMOps no Azure
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
O foco deste capítulo, “ ”, está em padrões práticos de arquitetura e técnicas de nível empresarial para profissionais de IA que já entendem os fundamentos dos LLMs e estão prontos para construir aplicativos prontos para produção. Vamos percorrer os componentes essenciais necessários para passar da fase de experimentação para a implantação no Azure, incluindo hospedagem de modelos, armazenamentos de vetores, estruturas de orquestração, ferramentas de integração low-code e front-ends web. Ao longo do caminho, exploraremos escolhas de design do mundo real, destacaremos as soluções de compromisso (como custo versus desempenho) e forneceremos orientações práticas para montar soluções de GenAI escaláveis, seguras e fáceis de manter.
De MLOps a GenAIOps: por que isso importa
es de operações em aplicativos de IA não são novidade. Há quase uma década, as empresas vêm contando com o MLOps (operações de aprendizado de máquina) para trazer disciplina e rigor aos projetos tradicionais de ML e de uso intensivo de dados. Os objetivos eram claros: tornar os modelos reproduzíveis, garantir a escalabilidade e gerenciar seu ciclo de vida com os mesmos princípios que o DevOps trouxe para a engenharia de software. O Azure Machine Learning forneceu as bases para isso: pipelines de treinamento, um registro de modelos, gatilhos automatizados ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.