Answer 10 questions and see how you score!
1. Which architecture enables multimodal LLMs for text and image?
2. Which approach enables safety alignment at scale without human feedback?
3. Which tokenization method splits text into subwords?
4. Which advanced RAG variant uses multiple retrievers for heterogeneous sources?
5. Which approach improves LLM reasoning with chain-of-thought prompts?
6. Which model size improves language understanding?
7. Which technique speeds up inference using low-rank adapters?
8. Which training method fine-tunes models using human feedback?
9. Which Gen AI capability writes emails?
10. Which technique removes redundant parameters?