Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: P

The video tutorial guides viewers through the initial steps of developing a chatbot. It begins by listing essential libraries such as TensorFlow, numpy, keras, and pickle, and provides instructions for their installation. The project involves creating a chatbot that answers yes or no questions based on a given story. The tutorial emphasizes that the chatbot is not conversational but can process large corpora to provide accurate responses. The video concludes with a brief overview of the project and mentions that the next video will cover library imports.

Which library is essential for machine learning in the chatbot project?

• TensorFlow

• NumPy

• Pickle

• Keras

What is the primary function of the chatbot being developed?

• To answer yes or no questions based on a story

• To hold conversations with users

• To generate stories

• To translate languages

In the example story, what happened after Monica fell in the kitchen?

• The doorbell rang

• The spoons and knives fell

• The dishes broke

• The lights went out

What type of chatbot is being developed in this project?

• Non-conversational chatbot

• Translation chatbot

• Conversational chatbot

• Weather chatbot

How does the chatbot respond to questions?

• With detailed explanations

• By providing a summary

• With yes or no answers

• By asking another question