Building Conversational AI assistants with state-of-the-art in NLP
Malar Saravanan (~malar07) |
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