Building Conversational AI assistants with state-of-the-art in NLP

Description:

• Building Conversational AI assistant using an open source framework which is developed in python.
  • Enriching the Natural Language Unit component for bot's knowledge base using the pre-trained context based embeddings like BERT, GPT and XLNet which has already pushed the boundaries in NLP.
  • A comparative study on finding the well-suited NLU model for bot's knowledge and design strategy for building the chatbots that are suitable for different use-cases.
  • Visualize and analyse conversational AI models.

Prerequisites:

• Basics of python
• Understanding the use cases and terminologies of chatbot development
• Basics of machine learning

Speaker Info:

Consultant with wide expertise in the development of machine learning models and conversational AI which empowers advanced NLP techniques.

Speaker Links:

• https://www.linkedin.com/in/malar-saravanan-9601a4110/
  • https://medium.com/@malarsaravanan1996

You can check out some of my other projects here

• https://github.com/Malar-saravanan/PerLearn
• https://github.com/Malar-saravanan/Watson-Bot