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What is seq2seq model in chatbot?

What is seq2seq model used for?

Sequence to Sequence (often abbreviated to seq2seq) models is a special class of Recurrent Neural Network architectures that we typically use (but not restricted) to solve complex Language problems like Machine Translation, Question Answering, creating Chatbots, Text Summarization, etc.Aug 31, 2020

How does a generative chatbot work?

A generative chatbot is an open-domain chatbot program that generates original combinations of language rather than selecting from pre-defined responses. seq2seq models used for machine translation can be used to build generative chatbots.

What is Sequence Sequence model?

A typical sequence to sequence model has two parts – an encoder and a decoder. Both the parts are practically two different neural network models combined into one giant network. ... This representation is then forwarded to a decoder network which generates a sequence of its own that represents the output.Mar 15, 2018

What is retrieval based chatbot?

Retrieval-based chatbots use techniques like keywords matching, machine learning or deep learning to identify the most appropriate response. Regardless of the technique, these chatbots provide only predefined responses and do not generate new output. One example retrieval-based chatbot is Mitsuku.Jun 28, 2020

image-What is seq2seq model in chatbot?
image-What is seq2seq model in chatbot?
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Is Seq2Seq a RNN?

Seq2Seq is a type of Encoder-Decoder model using RNN. It can be used as a model for machine interaction and machine translation.

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What is encoder and decoder in LSTM?

Encoder-Decoder LSTM Architecture

… RNN Encoder-Decoder, consists of two recurrent neural networks (RNN) that act as an encoder and a decoder pair. The encoder maps a variable-length source sequence to a fixed-length vector, and the decoder maps the vector representation back to a variable-length target sequence.
Aug 23, 2017

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How is LSTM trained?

In order to train an LSTM Neural Network to generate text, we must first preprocess our text data so that it can be consumed by the network. In this case, since a Neural Network takes vectors as input, we need a way to convert the text into vectors.Jun 24, 2019

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What are CNNS used for?

A Convolutional neural network (CNN) is a neural network that has one or more convolutional layers and are used mainly for image processing, classification, segmentation and also for other auto correlated data. A convolution is essentially sliding a filter over the input.

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Is there a better AI than replika?

There are six alternatives to Replika for a variety of platforms, including iPhone, Online / Web-based, Android, iPad and Self-Hosted solutions. The best alternative is Kuki, which is free. Other great apps like Replika are Cleverbot.io (Free, Open Source), Kajiwoto (Free), Cleverbot (Paid) and Hugging Face (Free).Aug 18, 2021

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What type of bot is Mitsuku?

Formerly known as Mitsuku, Kuki is a chatbot created from Pandorabots AIML technology by Steve Worswick. It is a five-time winner of a Turing Test competition called the Loebner Prize (in 2013, 2016, 2017, 2018, and 2019), for which it holds a world record.

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Is Replika a Chinese app?

AI chatbots are now a $420 million market in China. Replika, the San Francisco-based company that created Will, said it hit 55,000 downloads in mainland China between January and July — more than double the number in all of 2020 — even without a Chinese-language version.Aug 6, 2021

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How does the seq2seq model work?

  • In the seq2seq model, the weights of the embedding layer are jointly trained with the other parameters of the model. Follow this tutorial by Sebastian Ruder to learn about different models used for word embedding and its importance in NLP.

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What are the different types of chatbots?

  • Briefly, chatbots can be categorized into 2 branches: Retrieval chat bots rely on a database to search in. However, generative chat bots rely on a model to generate its answers. Generative chat bots require a huge amount of data to be trained, they also require huge resources in order to train them.

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How do I append special tokens to text in seq2seq?

  • In seq2seq we need to append special tokens to text. This is mainly in the decoder’s data. In the decoder’s input, we append a start token which tells the decoder it should start decoding.

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How do I import a dataset to a chatbot?

  • Wherever you downloaded the dataset, I’m assuming you created a folder on the desktop named chatbot, so copy the dataset folder to the chatbot and then specifically from the dataset folder take out Movie_lines & Movie_conversations text file and paste it in the chatbot folder.

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How does the seq2seq model work?How does the seq2seq model work?

In the seq2seq model, the weights of the embedding layer are jointly trained with the other parameters of the model. Follow this tutorial by Sebastian Ruder to learn about different models used for word embedding and its importance in NLP.

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What kind of neural network does our chatbot use?What kind of neural network does our chatbot use?

The brains of our chatbot is a sequence-to-sequence (seq2seq) model. The goal of a seq2seq model is to take a variable-length sequence as an input, and return a variable-length sequence as an output using a fixed-sized model. Sutskever et al. discovered that by using two separate recurrent neural nets together, we can accomplish this task.

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What is a chatbot and how does it work?What is a chatbot and how does it work?

A chatbot is a software that provides a real conversational experience to the user. There are closed domain chatbots and open domain (generative) chatbots. Closed domain chatbot is a chatbot that responses with predefined texts. A generative chatbot generates a response as the name implies.

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How do I append special tokens to text in seq2seq?How do I append special tokens to text in seq2seq?

In seq2seq we need to append special tokens to text. This is mainly in the decoder’s data. In the decoder’s input, we append a start token which tells the decoder it should start decoding.

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