esto facilita bastante la creación de un modelo, el problema ya es el precio y ver si conviene mas invertir un poco mas de tiempo en la creación del modelo para ahorrar costos
Introducción
¿Qué son los servicios cognitivos?
Funciones de cognitive services
Setup del ambiente
Privacidad y seguridad
Lenguaje
Procesamiento de texto
Escenarios de uso y consideraciones
Análisis de sentimiento
Detección y traducción de textos
Utilizando Text Analytics
Voz
Oportunidades con procesamiento de voz
Convierte texto en voz
Convierte voz a texto
Traducción de voz
Reconocimiento de voz
Visión
Oportunidades con visión computacional
Análisis de imagen con computer visión
Extracción de textos en imágenes utilizando OCR
Reconocimiento facial
Obteniendo atributos de rostros
Utilizando la librería de Face
LUIS
Conoce a LUIS
Creando el modelo de entendimiento de lenguaje y planeación de la app
Identificando la intención del usuario
Utiliza modelos prediseñados
Entrena al modelo
Integrando LUIS a nuestra aplicación
Conclusiones
Despedida
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Incorporating pre-designed models in your LUIS (Language Understanding Intelligent Service) applications is an efficient way to add common functionalities without having to develop them from scratch. These models offer preconfigured entities and intents that can significantly speed up the development process, especially when working with applications that need to process natural language in certain areas, such as weather or e-mail.
Language and regional variations: When creating an application in LUIS, it is crucial to define the language correctly. Some regional settings do not support prebuilt templates. For example, for Mexican Spanish, there are no prebuilt domains available. A good practice is to opt for neutral Spanish if you want to use these features.
Model configuration: You can start by creating a new application (e.g. "travel app") in neutral Spanish. Select the appropriate prediction services and explore the pre-built domains you can add to your app.
To add pre-built domains, follow these steps:
The pre-built domains provide you with examples and variant phrases to feed your intentions. Note that:
In case your regional configuration does not support prebuilt models, you can still use prebuilt entities to facilitate development. These include:
For example, by adding a pre-built entity such as "temperature", you will be able to train the model and associate new examples to connect this entity with your intentions.
Using pre-designed models and entities in LUIS not only streamlines your work, but also facilitates the integration of highly sophisticated features for natural language processing. By understanding the options available and how to implement them, you can create smarter and more robust applications. Keep exploring and learning, your journey into the world of natural language and intelligent applications is just beginning!
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esto facilita bastante la creación de un modelo, el problema ya es el precio y ver si conviene mas invertir un poco mas de tiempo en la creación del modelo para ahorrar costos
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