Quiz tuning tegtal

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Ku amul ay tegtal, naka la modelu base bu ñor mëna tontu ci laaj bi ' Lan mooy kapitaalu France?'
   • Dafay baña tontu saa yu nekk
   • Dafay delloo njuumte
   • Mën na wéyal ak yeneen laaj wala mbind yu méngoo ak loolu ci barabu tontu
   • Dafay tontu bu baax saa yu nekk
2. Tuning tegtal mooy:
   • Njàngale mu am doole ci feedback nit
   • Tàggat bu njëkk ci mbindu web bu ñor
   • Defar parametru tàngoor
   • Fine-tuning biñ saytu ci ñaari tegtal ak tontu
3. How does supervised instruction tuning differ from reward-model-based RLHF in the published InstructGPT recipe?
   • It is exactly the same optimization stage
   • It trains against reference responses, while the later preference stages use comparisons and a reward model
   • It requires no training examples
   • It only changes a sampling temperature
4. Why do instruction-tuning researchers evaluate models on held-out tasks and instructions?
   • To assess generalization beyond the examples used for training
   • To prove that every unseen task will succeed
   • To avoid checking any generated responses
   • To guarantee the same accuracy for every task mixture
5. Lan mooy anam wi ñuy tàggatee assistant chat bu bees bi?
   • RLHF, ginaaw ga tàggat yaram, ginaaw ga jàngale
   • Tuning tegtal, ginaaw ga tàggat yaram
   • Pretraining rek, amul leneen
   • Tàggat bu njëkk, ginaaw ga ajusteg tegtal, ginaaw ga RLHF
6. What does LIMA's curated-data experiment support as a research conclusion?
   • Exactly 1,000 examples are enough for every model and task
   • More data can never help any instruction-tuned model
   • Carefully selected small datasets can be effective in an evaluated configuration
   • Only synthetic examples can train an assistant
7. Which training stage did the original LIMA experiment omit while using its 1,000 curated prompt-response pairs?
   • Reinforcement learning and human preference modeling
   • Supervised response loss
   • A pretrained base model
   • Prompt-response examples
8. A tuned model follows the requested answer format. What does that behavior alone fail to establish?
   • That an output format was requested
   • That every factual statement in the answer is correct
   • That the model produced a response
   • That the response can be inspected