April 2025
Intermediate to advanced
530 pages
13h 37m
Portuguese (Portugal, Brazil)
Content preview from Criando serviços de IA generativa com a FastAPI
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Capítulo 10. Otimizar os serviços de IA
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Neste capítulo, aprenderás a otimizar ainda mais os teus serviços através de engenharia prompt, quantização de modelos e mecanismos de cache.
Técnicas de otimização
Os objectivos da otimização de um serviço de IA consistem em melhorar a qualidade da produção ou o desempenho (latência, débito, custos, etc.).
As optimizações relacionadas com o desempenho incluem o seguinte:
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Utilização de APIs de processamento em lote
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Armazena em cache (palavra-chave, semântica, contexto ou prompt)
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Quantização do modelo
As optimizações relacionadas com a qualidade incluem o seguinte:
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Utiliza saídas estruturadas
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Engenharia prompt
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Afinação do modelo
Vamos analisar cada um deles com mais pormenor.
Processamento em lote
A solução mais óbvia é submeter várias chamadas à API por entrada. No entanto, a abordagem óbvia pode ser dispendiosa ...
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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.