March 2025
Intermediate to advanced
422 pages
10h 54m
Portuguese (Portugal, Brazil)
Content preview from Engenharia prompt para IA generativa
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Capítulo 6. Agentes Autónomos comMemória e Ferramentas
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Este capítulo aprofunda a importância do raciocínio em cadeia e a capacidade dos modelos de linguagem de grande porte (LLMs) de raciocinar sobre problemas complexos como agentes. Ao dividir problemas complexos em componentes mais pequenos e mais fáceis de gerir, os LLMs podem fornecer soluções mais completas e eficazes. Aprenderás também sobre os componentes que constituem os agentes autónomos, tais como entradas, funções de objetivo ou recompensa e ações disponíveis.
Cadeia de pensamento
A capacidade da IA para raciocinar sobre problemas complexos é essencial para criar aplicações eficazes, fiáveis e fáceis de utilizar.
O raciocínio em cadeia (CoT) é um método que consiste em guiar os LLMs através de uma série de passos ou ligações lógicas para chegar a uma conclusão ou resolver um problema. Esta abordagem é particularmente útil para tarefas que exigem uma compreensão mais profunda do contexto ou múltiplos factores a considerar.
A CoT pede a um LLM que pense em problemas complexos, dividindo-os em componentes mais pequenos e mais fáceis de gerir. Isto permite que o LLM se concentre em cada parte individualmente, garantindo uma compreensão mais completa do problema em questão.
Na prática, o raciocínio em cadeia pode envolver:
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Pedir a um LLM que explique as suas decisões
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Planear várias etapas antes de ...
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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.