大模型基础

题集来源:AMIT SHEKHAR(amitshekhariitbhu)收录项目:ai-engineering-interview-questions查看原题集 反馈(在 GitHub 新标签页打开)

题目目录

80 道原题
  1. Explain the difference between autoregressive and masked language modeling.

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  2. Proximal Policy Optimization (PPO)

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  3. Direct Preference Optimization (DPO)

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  4. Group Relative Policy Optimization (GRPO)

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  5. Recursive Language Models (RLMs)

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  6. Continual Learning in LLMs

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  7. What is Recursive Self-Improvement (RSI)?

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  8. How do Diffusion Language Models (DLMs) work?

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  9. How Does LLM Watermarking Work?

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  10. How do RNNs and Transformers differ?

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