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Otto and Slack

In 2018 I successfully loaded Rasa NLU on my home server.  I trained it with different input and it was able to determine the appropriate intent about 80% of the time.  The intents that I used were affirm commerce converse goodbye greet media negate request search The affirm, goodbye, greet and negate intents would respond…

7 Powerfully Effective Ways to Market a Product

7 Powerfully Effective Ways to Market a Product Pop quiz: After perhaps the most successful product marketing campaign in history, this company’s stock price skyrocketed from $9.08 to $16.23, a 78.7% increase. The campaign turbocharged sales 36% year-over-year. And the company grabbed 42% more market share. Source: www.wordstream.com/blog/ws/2017/04/06/how-to-market-a-product

Rasa Core: Machine learning-based dialogue management

Rasa Core: Machine learning-based dialogue management Manage back-and-forth dialogues with machine learning and let it improve with every conversation Rasa Core is an open source chatbot framework to handle contextual conversations. Move beyond simple Q&A pairs and rigid decision trees. Its advanced dialogue management is based on ML and allows for smarter conversations and makes…

Dialogue system

Dialogue system – Wikipedia A dialogue system, or conversational agent (CA), is a computer system intended to converse with a human with a coherent structure. Dialogue systems have employed text, speech, graphics, haptics, gestures, and other modes for communication on both the input and output channel. What does and does not constitute a dialogue system…

Dialog management – Bot Tutorials

Dialog management – Bot Tutorials In my latest article I discussed NLU’s and how they can be used to classify user input in more abstract concepts like intents and entities. This is of course just the first step in building a complex conversational bot. I’m afraid we need to go deeper. Let’s explore the magical world of dialogs. A complex…