Come join us at Contextual Chatbots with Rasa and TensorFlow.

Contextual chatbot is one of the most crucial application areas of natural language processing with deep learning. A chatbot is composed several components designed in a pipeline architecture to understand user input and respond to it with an appropriate utterance, which is hard to implement from scratch. Luckily, Rasa framework, which uses TensorFlow under the hood, provides a variety of components and tools to make the development easier. Also, it allows you to implement your own components to be hooked into the Rasa pipeline.

At this event, Merve Noyan and M. Yusuf Sarıgöz will talk about developing contextual chatbots with Rasa and TensorFlow in the real world, sharing best practices to design a pipeline, test and visualize model performance, finetune hyperparameters, implement custom components and deploy your chatbot in production.

Mark your calendars for Contextual Chatbots with rasa and TensorFlow on May 30th, 21:00-22:30. The event will be online, and you need to RSVP to the event in order to see the link to be updated 30 minutes before the start time.

Speakers

Merve Noyan, Machine Learning Engineer at buck.ai

M. Yusuf Sarıgöz, Co-Founder & AI Engineer at AI Labs, Google Developer Expert on Machine Learning