In this blog, i want to clarify the big picture of our NLP Pillar, What topic we will cover and how we can grow together in this field Big Picture Knowledge Representation In NLP, knowledge representation related to how you can express your knowledge (text, documents) in features that we Read more…
Training data is an essential part of every machine learning model. It is no different when it comes to conversational AI. We designed Rasa Core so that instead of writing rules, your assistant could observe what real conversations look like, learn from them and use that knowledge to manage the dialogue. Modelling Read more…
In this blog post i will talk about attention the most important innovations in deep learning in the last few years. Attention started out in the field of computer vision as an attempt to mimic human perception. This is a quote from a paper on Visual Attention from 2014. It Read more…
there’s a whole class of NLP tasks that rely on sequential output, or outputs that are sequences of potentially varying length. For example: Translation: taking a sentence in one language as input and outputting the same sentence in another language. Conversation: taking a statement or question as input and responding Read more…
“Being able to predict the future is not always a good thing. Cassandra of Troy had the gift of foreseeing but was cursed by Apollo that no one would believe her predictions. Her warnings of the destruction of Troy were ignored and — well, let’s just say that things didn’t turn out Read more…
This article will guide people to integrate Rasa ChatBot with Slack and Facebook Messenger. First we will see how the integrated platforms will connect to the rasa’s chatbot server. Please see the following overview chart. The diagram above seems quite confusing, I will explain now. First, the integrated platform will Read more…
Welcome back to part 2 of the Rasa NLU in Depth series. In this three-piece blog post series we share our best practices and experiences about Rasa NLU which we gained in our work with community and customers all over the world Understanding the user’s intent is only part of Read more…
AI assistants have to fulfill two tasks: understanding the user and giving the correct responses. The Rasa Stack tackles these tasks with the natural language understanding component Rasa NLU and the dialogue management component Rasa Core. Based on our work with the Rasa community and customers from all over the Read more…
I wanted to give a bit more detail to the concept of five levels of AI assistants. This is our way of quantifying the path that AI assistants have been following, and will travel over the coming years. This is your guide to understanding the path to true conversational AI. Read more…
RNN if you look up the definition of the word Recurrent, you will find that it simply means occurring often or repeatedly. So why are these networks called Recurrent Neural Networks? It’s simply because with RNN’s, we perform the same task for each element in the input sequence. RNN’s also Read more…