大模型基础
Your LLM does not admit when it does not know the answer. How do you make it say "I don't know"?
原题Your LLM generates responses that are too verbose. How do you control response length?
原题Your LLM memorized proprietary training data and leaks it in responses. How do you prevent this?
原题Your LLM coding assistant generates outdated code using deprecated libraries. How do you fix it?
原题Your tokenizer splits important domain terms into meaningless subword pieces. How do you fix it?
原题Your Transformer's KV cache grows too large during long sequence generation. How do you manage memory?
原题Your Transformer runs out of memory on long documents due to quadratic self-attention. How do you scale it?
原题Your distilled student model fails on the complex reasoning that the teacher model handled. How do you close the gap?
原题After RLHF alignment, your LLM became safer but lost capability on hard tasks. How do you manage the alignment tax?
原题Your RLHF-trained LLM is gaming the reward model instead of being genuinely helpful. How do you fix reward hacking?
原题
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