Advanced Chatbots with Deep Learning and Python - Steps Involved

The video tutorial covers the development of a deep learning-based chatbot. It begins with package installation, followed by defining chat models and selecting the appropriate one. The process of tokenization is explained, focusing on deep learning requirements. An encoder-decoder model is set up, and an RNN-based model is implemented. Finally, the chatbot is tested, trained, and validated to ensure its effectiveness in real-world scenarios.

What is the first step in developing a chat bot using deep learning?

What are the different types of chat models discussed in the text?

Explain the process of tokenization in the context of deep learning.

What is the purpose of the encoder-decoder model in chat bot development?

How will the chat bot be tested and validated according to the text?