Applications of foundation models
Practise only this domain. 23 questions with explanations, 20 at a time.
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- A company wants to serve a support chatbot at high volume with lower per-request cost. It trains a compact model to reproduce the answers of a much larger model, and the compact model then handles the traffic. What is this technique called?Hard
- A team building semantic search over product manuals needs a managed AWS store that can hold embedding vectors and run k-nearest-neighbor queries. Which service should it choose?Easy
- A media company runs a steady, high-volume summarization job through a foundation model around the clock and needs predictable latency at a lower unit cost. Which Amazon Bedrock option should it evaluate?Hard
- A product team wants to add summarization to its app using ready-made models, while a separate research group wants to build and train its own forecasting models on proprietary data. Which pairing of AWS services matches those needs?Medium