Chatbots for Beginners: A Complete Guide to Build Chatbots - Fundamentals of Chatbots for Deep Learning: Generative Vers

The video tutorial discusses the differences between retrieval-based and generative chat bots. Retrieval-based chat bots use predefined responses and are limited in handling unseen cases, while generative chat bots use machine learning to generate new insights and are self-learning. Generative chat bots require extensive training and can handle grammatical errors. The tutorial highlights the advantages of generative chat bots, such as their ability to learn and improve over time, making them comparable to human responses.

What is a key characteristic of retrieval-based chat bots?

• They require extensive training.

• They are self-learning.

• They use predefined responses.

• They generate new insights.

How do generative chat bots differ from retrieval-based chat bots?

• They rely on predefined responses.

• They cannot handle unseen cases.

• They generate new insights using machine learning.

• They are based on simple techniques.

What advantage do generative chat bots have over time?

• They become self-learning and improve.

• They require less data.

• They become less accurate.

• They rely more on predefined responses.

What is a limitation of retrieval-based chat bots?

• They generate new insights.

• They can handle unseen cases.

• They require extensive training.

• They cannot handle grammatical errors.

What is required for training generative chat bots?

• No training is needed.

• Large amounts of data and advanced models.

• Predefined responses.

• Minimal data and simple techniques.