October 2024
Intermediate to advanced
332 pages
10h
Spanish
Content preview from Análisis de Texto Aplicado con Python
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Capítulo 10. Chatbots
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En este capítulo exploraremos una de las aplicaciones conscientes del lenguaje de más rápido crecimiento: los agentes conversacionales. Desde Slackbot a Alexa, pasando por el Dragon Drive de BMW, los agentes conversacionales se están convirtiendo rápidamente en una parte indispensable de nuestras experiencias cotidianas, integrados en una gama cada vez más amplia de contextos. Mejoran nuestras vidas con una memoria ampliada (p. ej., buscando cosas en Internet), un mayor cálculo (p. ej., haciendo conversiones o desplazándonos al trabajo) y una comunicación y un control más fluidos (p. ej., enviando mensajes, gestionando casas inteligentes).
La principal novedad de estos agentes no es la información o la asistencia que proporcionan (ya que eso está disponible en aplicaciones web y móviles que utilizan interfaces de apuntar y hacer clic desde hace mucho tiempo); más bien, es su interfaz lo que los hace tan atractivos. Las interacciones de lenguaje natural proporcionan un método de acceso a los recursos informáticos de baja fricción, sin barreras y muy intuitivo. Por ello, los chatbots representan un importante paso adelante en la experiencia del usuario, como la incorporación natural de comandos a las aplicaciones basadas en texto, minimizando así las interfaces mal diseñadas basadas en menús. Y lo que es más importante, también permiten nuevas ...
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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.
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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.