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DeepPavlov Review

3

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Very good

Revainrating 4.5 out of 5  
Rating 
4.4
Artificial Intelligence, Conversational Intelligence

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Description of DeepPavlov

DeepPavlov is an open-source conversational AI library built on TensorFlow and Keras. It is designed for the development of production ready chat-bots and complex conversational systems, NLP and dialog systems research.

Reviews

Global ratings 3
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Type of review

The best part about this toolkit was that it helped me to build my first Chatbot using Python language which can make calls via APIs or Webhooks from other applications as well! I am sure there are many things one could do with such tools but currently they don't have any modules available in their portal so what i found useful were only those features like - Speech Recognition module etc., where you get some good results by training your own model instead if having trained dataset provided…

Pros
  • Easy integration into different platforms
  • Lotsa documentation, tutorials& helpdesk options for assistance while implementing.
  • It's super fast compared too most python frameworks/libraries.you'll never feel slow again..its quick enough even during testing phase !!!!:)Cons? Nothing really :D

Revainrating 4 out of 5

Conversations With Artificial Intelligence

It has been quite a while since I have done any research on DeepPavlov. I remember that it was quite a good conversational AI library. I haven't tried DeepPavlov for a long time. I have heard that it has made some changes to it's user interface. I don't know if that is true but it does come across as if it is not as well maintained. At least for the time that I used it, it was quite reliable for my research. It has made conversational AI quite easy to do. It is not as complex as I thought it…

Pros
  • I like that it integrates with Python and that it's easy to use
Cons
  • I don't like how many of the commands are written in Python and that sometimes it takes me a minute to figure out which command is which

Revainrating 4 out of 5

Great for beginners & perfect for Chatbots!

I like that it's easy to use with Python 3 as well! The documentation could be more in depth but still understandable by beginners (like me). This was my first experience using Neural Networks so this helped ease some nerves about how difficult they can seem at times :) Would recommend trying out any tutorial or example code provided - helps get you started without much hassle! We are currently working towards developing our own Chatbot which will help us improve customer service within our…

Pros
  • Even for new users like myself, it's fairly easy to get the hang of the syntax and then branch into the more technical and advanced concepts when required
Cons
  • Could be more detailed and in