Wednesday, August 12Digital Marketing Journals

Tag: PyTorch

NLP based Chatbot in PyTorch. Bonus Flask and JavaScript deployment | by Victoria Maslova | Oct, 2021
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, deep-learning, nlp, pytorch, robot chat

NLP based Chatbot in PyTorch. Bonus Flask and JavaScript deployment | by Victoria Maslova | Oct, 2021

Among the various ways you can improve customer satisfaction, chatbots are a powerful solution to help the customer base. Chatbots are affordable, help scale your business, fully customizable, help your customers find the right products/services, and help build trust for your business. To prove this I’ll go through following content:What is a machine learning chatbot?Why chatbots are important in different business spheres?Build you own NLP based chatbot using PyTorch.Deploy chatbot in Javascript and Flask.A chatbot (Conversational AI) is an automated program that simulates human conversation through text messages, voice chats, or both. It learns to do that based on a lot of inputs, and Natural Language Processing (NLP).For the sake of semantics, chatbots and conversational assistants will...
Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021
best chatbot, chatbot, chatbot app, chatbot messenger, chatbot online, chatbot website, creating chatbots, deep-learning, facebook bot, facebook chatbot, facebook messenger bot, google chat bots, machine-translation, natural-language-process, nlp, pytorch, robot chat

Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021

Mike Wang, John Inacay, and Wiley Wang (All authors contributed equally)If you’ve been using online translation services, you may have noticed that the translation quality has significantly improved in recent years. Since it was introduced in 2017, the Transformer deep learning model has rapidly replaced the recurrent neural network (RNN) model as the model of choice in natural language processing tasks. However, Transformer models, like OpenAI’s Generative Pre-trained Transformer (GPT) and Google’s Bidirectional Encoder Representations from Transformers (BERT) models, have quickly replaced RNNs as the network architecture of choice for Natural Language Processing (NLP). With the Transformer’s parallelization ability and the utilization of modern computing power, these models are big and f...