August 2025
Intermediate to advanced
52 pages
1h 15m
Portuguese (Portugal, Brazil)
Content preview from Dados de streaming para aplicações de IA em tempo real
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Capítulo 1. Porque é que a IA em tempo real precisa de dados em fluxo contínuo
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Na sua essência, a IA em tempo real tem a ver com o imediatismo, ou seja, com o fornecimento de conhecimentos, a tomada de decisões e a adaptação a novas informações à medida que estas surgem. Esta exigência de imediatismo deriva da natureza fundamental da própria inteligência, que é a capacidade de responder ao mundo à medida que este muda. A cognição humana não processa os acontecimentos em intervalos fixos; pelo contrário, as pessoas reagem a eles à medida que vão acontecendo. Do mesmo modo, a IA em tempo real reage instantaneamente, baseando-se numa extensa pré-treino e adaptando-se continuamente às condições reais. Nestes sistemas, a informação recém-recuperada traz relevância imediata para a janela de contexto, quer através de mecanismos como a geração aumentada por recuperação (RAG), quer tirando partido do contexto recente. Estes dados recentes permitem respostas atempadas e informadas, baseadas nos conhecimentos mais relevantes disponíveis.
Ao contrário do processamento em lote, que se baseia em entradas atrasadas, os dados em fluxo contínuo fornecem um fluxo contínuo de informações actualizadas. Isso permite que as organizações ajam em tempo real, em vez de esperar por informações que podem já estar desatualizadas. Considera o seguinte caso de utilização que envolve uma chamada ...
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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.