AI1
Give 3 examples of very famous chatbots or AI tool used by you. Within a 30 second?
Chatgpt,bing , gamma AI etc tool.
Give examples of 3 apps that have chatbots integrated into them.
Zomato, whatsapp, irctc etc.
Name 5 industries where AI chatbots are being used?
Education, health, finance, real estate, media.
What is Natural language processing? (NLP).
NLP is a specific area of computer science that helps computers understand, interpret, and respond to human language (like text or speech).
Example: When you ask Siri a question, NLP helps the computer understand what you’re saying.
Give two examples of types of chatbots used by industries today based on how the data is trained on them?
Rule-based chatbot,
ML-based chatbot.
What is the full form of LLM?
Large Language Models.
Name a popular chatbot framework?
Dialogflow, Rasa, Microsoft Bot Framework
Explain the difference between machine learning and NLP?
ML is a broader field, and NLP is a part of it. Many NLP systems use Machine Learning techniques to understand and process language better.
What is the difference between a rule-based chatbot and a machine learning-based chatbot?
Rule-based uses no ML framework to train on data and is based on minimal rules. Whereas ML is trained on datasets.
In a multilingual chatbot, how can translation errors affect user intent recognition?
Translation errors in a multilingual chatbot can distort user input, alter meanings, or cause keyword mismatches, leading to incorrect intent recognition and reduced accuracy.
List three common metrics for evaluating chatbot performance and explain their significance?
1. BLEU: Evaluates response quality by comparing chatbot output to reference text.
2. Accuracy: Measures how well the chatbot correctly identifies intents or provides responses.
3. User Satisfaction: Assesses user feedback to gauge overall performance and effectiveness.
What are the challenges of training a chatbot using a seq2seq model?
Challenges of training a chatbot with a seq2seq model include high data requirements, difficulty retaining context, generating generic responses, computational complexity, and producing nonsensical outputs.
What is the purpose of Natural Language Processing (NLP) in chatbot development?
Help to understand/connect with human.
What is the main difference between a generative chatbot and a retrieval-based chatbot?
A retrieval-based chatbot selects the best response from a predefined set, ensuring accuracy and control but limiting flexibility and creativity.
What is Machine learning? Explain with very simple example?
Machine Learning is when computers learn from examples and improve themselves without being told exactly what to do.