Entrada destacada

Chatbots and awareness

 
 As humans we are always aware of our situational context — are we standing outside on a public street, or sitting in our own living room with friends. Is it first thing in the morning, or the middle of the night? It changes how we talk, and what we talk about. 
Chatbots and awareness 

 knowledge created through the interaction of an agent and its environment
   How Chatbots work?
Chatbots needs to understand the following to respond to an user question.
What is the user talking about? (Intent)
Did the user mention anything specific? (Entities)
What should the bot ask to get further details from the user? (Dialog/Maintaining Context)
How to fulfill the user request? (Response/Fulfillment) 


Dialog/Maintaining Context

Context lets the bot know what state the bot is currently in , There are three states — Previous, Present and Future When the user initiates the dialog, the bot reiterates the user itinerary and then checks with the user “Is this info correct?”. Here the previous state is a blank, the present state is “user validation” and future state is to “Provide a response based on user validation”. When the user responds “Yes”, then the bot state changes to “User validation”, “Provide a response based on user validation” and “Book a flight” for Previous, present and future states respectively. Without maintaining the context, bots cannot establish the back and forth communication

When the user initiates the dialog, the bot reiterates the user itinerary and then checks with the user “Is this info correct?”.

Here the previous state is blank,

the present state is “user validation” and future

future state is to “Provide a response based on user validation”.

When the user responds “Yes”, then the bot state changes to “User validation”,

“Provide a response based on user validation” and “Book a flight” for Previous, present and future states respectively.

Without maintaining the context, bots cannot establish the back and forth communication

Source:

https://www.linkedin.com/post/edit/6595252789591576576/

Everlife.ai

En esta entrada voy a ir comentando lo que parece ser el siguiente paso en programación.Hasta ahora los pasos han sido bastante elocuentes, empezamos con los lenguajes de de programación procedimentales tales como forran, civil, c… Etc a continuación llegaron los conceptuales para pasar a los oop la siguiente capa fueron los websockets, luego los webhubs, en la actualidad ya estamos en autoprogramacion.Estos lenguajes utilizan algoritmos propios de machine learning. Aunque la principal característica de estos lenguajes es que ya no están en una sola maquina, utilizan la tecnología Blockchain que es un concepto nuevo de servidor descentralizado.