Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Local Search and Wikipedia

The video tutorial introduces a chat bot named Chatter, explaining its basic functionalities and how it generates responses. The bot uses a local corpus for specific queries and integrates Wikipedia for broader searches. The tutorial covers the development process, highlighting the chat bot's ability to handle both local and global searches effectively. Future developments in chat bot technology are also discussed.

What was the initial issue faced with the chatbot Chatter?

• The chatbot was unable to connect to the internet.

• The chatbot was providing incorrect information.

• The generate response function was not initialized.

• The chatbot was not responding to any queries.

What is the primary focus of the 'hour' corpus integrated into the chatbot?

• To improve the chatbot's speed.

• To enhance the chatbot's language processing capabilities.

• To calculate and measure core hour issues.

• To provide general knowledge answers.

How does the chatbot respond to queries related to 'hour'?

• By utilizing the integrated hour corpus.

• By connecting to an external database.

• By using a predefined set of responses.

• By checking Wikipedia for answers.

What additional functionality does the chatbot have besides being a chat bot?

• It can play music.

• It can translate languages.

• It can function as a Wikipedia-based bot.

• It can perform mathematical calculations.

What type of searches can the chatbot perform?

• Both local and global searches.

• Only global searches.

• Neither local nor global searches.

• Only local searches.