Advanced Chatbots with Deep Learning and Python - Module Introduction-1

The video tutorial covers the development of chat bots using deep learning. It begins with a comparison of different types of chat bots, including conventional and AI-based ones. The tutorial then explores features specific to deep learning chat bots and discusses their advantages. It also covers generative and retrieval chat bots, highlighting their differences. Finally, the video examines the application of chat bots in various fields such as healthcare, B2B, and e-commerce, emphasizing their impact and importance.

What is the primary focus of feature exploration in this module?

• Exploring features of rule-based chat bots

• Exploring features of self-learning chat bots

• Exploring features of deep learning chat bots

• Exploring features of conventional chat bots

What is a key difference between conventional and AI-based chat bots?

• Conventional chat bots are more expensive to develop

• AI-based chat bots can learn from data, while conventional ones cannot

• Conventional chat bots require more data to function

• AI-based chat bots are slower in response time

Which type of chat bot generates responses on the fly?

• Generative chat bot

• Self-learning chat bot

• Retrieval-based chat bot

• Rule-based chat bot

In which industry are chat bots revolutionizing the way businesses interact with each other?

• E-commerce

• B2B

• Healthcare

• Education

How are chat bots impacting the e-commerce industry?

• By limiting customer interaction

• By slowing down transaction processes

• By increasing the cost of operations

• By reducing the need for customer service representatives