From 0f2d327286b3e1d87594448721518a6467f9f57a Mon Sep 17 00:00:00 2001 From: Adit Deshpande Date: Tue, 25 Jul 2017 18:38:46 -0700 Subject: [PATCH] Update 2017-07-31-How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me-(Sorta).html --- ...ning-to-Train-a-Chatbot-to-Talk-Like-Me-(Sorta).html | 1 + 1 file changed, 1 insertion(+) diff --git a/_posts/2017-07-31-How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me-(Sorta).html b/_posts/2017-07-31-How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me-(Sorta).html index 8fcaba18f0b97..384625c23c05b 100644 --- a/_posts/2017-07-31-How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me-(Sorta).html +++ b/_posts/2017-07-31-How-I-Used-Deep-Learning-to-Train-a-Chatbot-to-Talk-Like-Me-(Sorta).html @@ -8,6 +8,7 @@ --- +

Introduction

                  Chatbots are “computer programs which conduct conversation through auditory or textual methods”. Apple’s Siri, Microsoft’s Cortana, Google Assistant, and Amazon’s Alexa are four of the most popular conversational agents today. They can help you get directions, check the scores of sports games, call people in your address book, and can accidently make you order a $170 dollhouse.

These products all have auditory interfaces where the agent converses with you through audio messages. In this post, we’ll be looking more at chatbots that operate solely on the textual front. Facebook has been heavily investing in FB Messenger bots, which allow small businesses and organizations to create bots to help with customer support and frequently asked questions. Chatbots have been around for a decent amount of time (Siri released in 2011), but only recently has deep learning been the go-to approach to the task of creating realistic and effective chatbot interaction.