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

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?

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

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 The foundation model will permanently memorize patient data Patient data will be transmitted to the foundation model provider's servers

A company builds a prompt library in Notion with 30 useful templates. After 3 months, some templates produce worse results than they used to. What is the most likely cause and solution?

AI model updates changed behavior — review and update templates when models are upgraded, and record a version history The team is using too many templates — reduce to fewer than 10 All templates expire after 3 months due to API policy Notion is not a suitable storage tool for prompt templates

A small business owner is considering three AI marketing tools, all with similar feature sets. Which evaluation question is MOST important for long-term cost management?

Which tool has the best-designed user interface? Which tool has the most integrations in their marketplace? What is the pricing at the volume I'll be using? (Many tools have low entry prices that become expensive at scale) Which tool was most recently founded?

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?

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

Which layer of the AI stack contains products like ChatGPT, Microsoft Copilot, and Perplexity?

The foundation model layer The API and platform layer The training data layer The application layer

Why can many different AI products (e.g., a writing tool, a customer service bot, a code assistant) feel similar in capability?

They all copy ChatGPT's training data AI models can only do one type of task well They may all be using the same underlying foundation model via API Foundation models are open-source and freely copyable

A small business evaluates an AI tool and discovers it will fine-tune its model using the company's customer data to improve future recommendations. What is the most important consideration before agreeing?

Whether the model will be available to the business for download Whether fine-tuning on small business data produces measurably better results Whether the model improvement will be visible to the business within 30 days Whether using customer data for model training complies with the business's privacy policy and applicable data protection regulations — and whether customers consented

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

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

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