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

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

A healthcare startup wants to use AI to analyze sensitive patient records. Sending data to external cloud APIs is not permitted under their compliance policy. What type of deployment is most appropriate?

Self-hosted open-source model (e.g., Meta Llama) on the organization's own infrastructure Google Gemini Pro — all Gemini data stays in healthcare-dedicated servers ChatGPT Enterprise — data privacy is guaranteed by contract Whichever model has the highest benchmark score

A sales team writes a different prompt every time they need to generate a follow-up email after a meeting. What is the highest-leverage improvement?

Create a reusable prompt template with clearly marked variables for meeting date, client name, key discussion points, and next steps Each salesperson should develop their own unique prompting style Only the most senior team members should use AI — it causes quality variance Switch to a more powerful AI model

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 Open-source is required by US government regulation for AI models To establish Llama as the dominant open-source standard, growing Meta's AI ecosystem influence and accelerating research adoption

What is the primary benefit of marking variables in a prompt template using brackets like [CLIENT_NAME]?

The brackets are required syntax for AI models to recognize variable values Brackets encrypt the variable so the AI doesn't see the actual client name It makes the changeable elements visually obvious, so any team member can fill them in without needing to understand prompt engineering It allows the template to work across different AI provider APIs