AI Landscape Quiz: Do You Know the Models That Matter?

Which of these prompt template practices is MOST important for a large team to maintain quality over time?

Rotate to a new AI model every quarter to keep outputs fresh Document expected outputs alongside each template so users know what 'good' looks like and can spot when quality has degraded Require every user to rewrite 30% of the template before use Lock down templates so only administrators can use them

A manager asks an AI to recommend which of two job candidates to hire. What is the correct role for AI in this decision?

AI is too risky to use in any hiring process AI can make the final hiring decision based on the resume data provided AI can make the recommendation, but a human must type it into the HR system AI can help structure the evaluation criteria and surface considerations, but the hiring decision should be made by the human hiring manager

A healthcare company is evaluating an AI vendor's product for processing patient records. The vendor's product is built on a closed-source foundation model API. What is the primary data privacy consideration?

Closed-source models automatically comply with HIPAA The application layer encrypts data before it leaves the company Patient data will be transmitted to the foundation model provider's servers The foundation model will permanently memorize patient data

Which prompting technique best helps a professional use AI to identify blind spots in their own analysis?

Ask AI to write a better version of the analysis Ask AI to list the critical assumptions the analysis relies on, then ask what would happen if those assumptions were wrong Ask AI to score the analysis out of 10 Ask AI to summarize the analysis back in its own words

What is the primary reason Meta makes its Llama models available as open-source at no charge?

Meta cannot afford to run a paid API service Meta's Llama models are too weak to sell commercially To establish Llama as the dominant open-source standard, growing Meta's AI ecosystem influence and accelerating research adoption Open-source is required by US government regulation for AI models