Exam Preparation Quiz

Explanations for each answer:

• The chatbot might respond with inaccurate data is correct. Large language models can sometimes generate plausible-sounding but factually incorrect information, requiring validation and human oversight for critical applications.
• The chatbot will always provide accurate data is incorrect. LLMs are not infallible and can produce errors, hallucinations, or outdated information, especially without proper grounding and validation mechanisms.
• The chatbot is suitable for performing medical diagnosis is incorrect. Medical diagnosis requires specialized training, certification, and liability considerations that general-purpose LLMs are not designed to handle safely.
• Grounding data can be used to constrain the output of the chatbot is correct. Grounding techniques can provide relevant, accurate context data to help improve response quality and reduce hallucinations in LLM outputs.