Multiple Choice Questions

What is latency in chatbots?

• The amount of data processed by the chatbot

• The time it takes for the chatbot to respond to a user's query

• The accuracy of the chatbot's responses

• The complexity of the chatbot's language model

Which is NOT a cause of high latency in chatbots?

• A. Complex NLP models

• B. High query volume

• C. Use of simple algorithms

• D. Dependencies among machine learning models

What is the "critical path" in chatbot latency?

• The most efficient sequence of models needed to generate a response

• The path users take to access the chatbot

• The list of features the chatbot can perform

• The training data used for the chatbot

Which helps reduce latency in chatbots?

• Adding more models without optimization

• Using outdated hardware

• Optimizing the critical path and using efficient hardware

• Reducing the training dataset size

What are linguistic nuances in the context of chatbots?

• The speed at which a chatbot responds

• Subtle differences and complexities in language that affect understanding and response

• The amount of data a chatbot processes

• The chatbot's visual design elements

Which stage of NLP involves breaking down text into individual words and sentences?

• A. Syntactic Analysis

• B. Pragmatic Analysis

• C. Lexical Analysis

• D. Semantic Analysis

What is the primary goal of semantic analysis in NLP?

• Identifying the parts of speech in a sentence

• Analysing the meaning of words and sentences

• Detecting the emotional tone of the message

• Integrating the sentence into the larger context of the conversation

Which of the following is NOT a method to improve a chatbot's handling of linguistic nuances?

• Using enhanced training datasets

• Implementing advanced NLP models

• Increasing the hardware's processing power

• Incorporating user feedback

Which step is NOT involved in backpropagation?

• A. Forward pass

• B. Compute loss

• C. Data augmentation

• D. Backward pass

What is the role of the loss function in backpropagation?

• Generate the network's output

• Measure difference between predicted and actual outputs

• Determine the learning rate

• Initialize the network's weights