May 2025
Intermediate to advanced
186 pages
6h 22m
Portuguese (Portugal, Brazil)
Content preview from Guia de estudo do Azure AI Fundamentals (AI-900)
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Capítulo 8. Caraterísticas das cargas de trabalho de IA generativa no Azure
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Sobre 15%-20% do exame AI-900 é sobre recursos e cenários para IA generativa, que abordaremos neste capítulo. Isso inclui entender como os modelos geram respostas, criam imagens e escrevem trechos de código. Também analisaremos cenários típicos de IA generativa, para que possas ligar o conhecimento teórico a aplicações práticas. Esta parte do exame não se trata apenas de saber o que é IA generativa - trata-se de reconhecer seu impacto e relevância em casos de uso no mundo real.
Outra área fundamental do exame envolve a IA responsável. Isto inclui compreender as implicações éticas do conteúdo gerado por IA e as medidas que o Microsoft Azure toma para garantir que as suas ferramentas de IA generativa são utilizadas de forma segura e responsável. Ao dominar estes tópicos, estarás bem preparado para responder a perguntas sobre como os serviços de IA generativa do Azure podem ser aplicados de forma eficaz e responsável em vários domínios.
Compreender a IA generativa
Na sua essência, a IA generativa baseia-se em modelos treinados para compreender e responder à linguagem de forma intuitiva e humana. Quando pedes à IA generativa para gerar conteúdo, esta baseia-se em grandes quantidades de dados e aplica algoritmos matemáticos para o tornar possível.
A IA generativa tornou-se rapidamente uma ...
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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.