Chatbots Posts

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Practical seq2seq

Revisiting sequence to sequence learning, with focus on implementation details Posted on December 31, 2016 In my last article, I talked a bit about the theoretical aspect of the famous Sequence to Sequence Model. I have shared the code for my

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Learn to build a chatbot using TensorFlow

 Part II of Sequence to Sequence Learning is available here. Last year, Telegram released its bot API, providing an easy way for developers, to create bots by interacting with a bot, the Bot Father. Immediately people started creating abstractions in nodejs, ruby and

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Deep Learning for Chatbots, Part 1 – Introduction

Chatbots, also called Conversational Agents or Dialog Systems, are a hot topic. Microsoft is making big bets on chatbots, and so are companies like Facebook (M), Apple (Siri), Google, WeChat, and Slack. There is a new wave of startups trying to change

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API.AI “Small Talk” is now Open! Why is it a Really Big Deal?

Guys from API.AI (NLP provider as a service) have recently made their Small Talk NLP module open and in this article I’m going to tell you why it’s a really big deal for all bot builders. API.AI — Conversational User Experience Platform If you’re not familiar

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The Rise of Emotionally Intelligent AI

I have studied emotional intelligence as a hobby for a long time. Until recently, I believed emotional intelligence to remain one of the core advantages of us humans after artificial intelligence has taken over all tasks requiring memorization and logic.

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Deep Learning for Chatbots, Part 2 – Denny Britz

Implementing a Retrieval-Based Model in Tensorflow The Code and data for this tutorial is on Github. Retrieval-Based bots In this post we’ll implement a retrieval-based bot. Retrieval-based models have a repository of pre-defined responses they can use, which is unlike generative models

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Deep Learning for Chatbots, Part 1 – Introduction by Denny Britz

Chatbots, also called Conversational Agents or Dialog Systems, are a hot topic. Microsoft is making big bets on chatbots, and so are companies like Facebook (M), Apple (Siri), Google, WeChat, and Slack. There is a new wave of startups trying to change

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Building a FAQ Chatbot in Python – The Future of Information Searching

Introduction What do we do when we need any information? Simple: “We Ask, and Google Tells”. But if the answer depends on multiple variables, then the existing Ask-Tell model tends to sputter. State of the art search engines usually cannot

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Your AI Shrink Will See You Now

Summary:  Where do we look to see the most advanced chatbots and the most complete application of AI?  Chatbots designed as ‘artificially intelligent psychological counseling chatbots’, ‘therapeutic assistants’ for short.   Perhaps a better title for this would be “how

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Are emotionally intelligent bots the future of AI? – Ellen Manning

Are emotionally intelligent bots the future of AI? Developing chatbots with emotional intelligence is a breakthrough area which has great potential in sectors such as healthcare From booking systems to customer and feedback services, . But in areas, such as health

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