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

Which Gemini feature most directly reduces hallucination on questions about recent events?

Gemini Flash's lower latency Google Search grounding — responses can be anchored to live Search results Gemini's fine-tuning on Google's proprietary dataset Gemini's large context window

A small business wants to use AI for drafting responses to customer complaints that include customer names and order details. What is the simplest way to reduce privacy risk while still using AI?

Ask the AI not to store the customer's name after the session Anonymize the data — replace the customer name with 'Customer' and describe the order generically — before sending to the AI tool Never use AI for any customer-related communications Use AI only on Tuesdays when server load is lower and data is more secure

A team of 50 professionals already uses Gmail, Google Docs, and Google Sheets daily. Which AI path offers the lowest adoption friction?

Self-hosted Llama — requires technical setup ChatGPT Enterprise — requires a new platform adoption Google Gemini for Workspace — AI is embedded directly into their existing tools Claude API — requires integration by a developer

A company wants to connect an AI assistant to its private internal knowledge base so it can answer employee questions. Which technique is most relevant?

Switching to an open-source model Building a new foundation model Retrieval-Augmented Generation (RAG) Fine-tuning the foundation model from scratch

What does SOC 2 certification indicate about an AI tool vendor?

The vendor has undergone an independent security audit verifying their security controls, data availability, processing integrity, and confidentiality The vendor stores data in the US and is subject to US law The vendor is approved by the US government for handling classified data The vendor's AI models are certified as bias-free

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

A strategy team wants to use AI to stress-test a business plan. Which prompt is most effective for this goal?

'What improvements can you make to this plan?' 'Summarize this business plan in three paragraphs' 'Tell me if this business plan will succeed' 'Act as a skeptical board member. What are the three riskiest assumptions in this plan, and what evidence would change your view?'

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?

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

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

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

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 Whichever model has the highest benchmark score ChatGPT Enterprise — data privacy is guaranteed by contract Google Gemini Pro — all Gemini data stays in healthcare-dedicated servers