Qwissit Artificial Intelligence

AWS AIF-C01

Generative AI Fundamentals

12 of 60 questions in the app

Basic GenAI concepts

  1. What is a token for a language model? Easy
  2. What is an embedding? Easy
  3. What is a vector database used for in a generative AI application? Easy
  4. What does chunking mean when preparing documents for RAG? Easy
  5. What characterises a foundation model? Easy
  6. Which architecture are most large language models based on? Easy
  7. What is a multimodal model? Easy
  8. How do diffusion models generate images? Easy

Basic GenAI concepts

  1. Two sentences have very similar embeddings. What can be concluded? Medium
  2. What typically happens when chunks for RAG are chosen very large? Medium

Basic GenAI concepts

  1. A team switches to a new embedding model for its knowledge search but leaves the vectors already stored unchanged. What is the likely consequence? Hard
  2. In a RAG application, hits often answer only half the question because related sentences are split across two chunks. Which measures help? Hard

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