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362 questions
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Questions
Picking a cheap but predictive eval to track during training: what do you actually log?
Short Answer
Medium
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Qual 4.0
Why has GRPO eaten PPO's lunch in 2025-2026 reasoning post-training?
Short Answer
Medium
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Qual 4.0
OpenAI's hosted FT for tool-calling models: what does a JSONL row need beyond text SFT?
Short Answer
Medium
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Qual 4.0
OpenAI
Walk through one training example for SFT'ing a single weather-tool call.
Short Answer
Medium
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Qual 4.0
Replay-buffer mix for domain SFT: how much general data, and from where?
Short Answer
Medium
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Qual 4.0
Designing a code-assistant SFT mix: how should domain and general data balance?
Short Answer
Medium
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Qual 4.0
Design a fine-tune that teaches a model to refuse when the retrieved context lacks the answer.
Short Answer
Medium
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Qual 4.0
Pretraining vs fine-tuning: two key differences in data and objective.
Short Answer
Easy
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Qual 4.0
DeepSeek-style reasoning distillation: what travels from teacher to student, and what gets cut from the loss?
Short Answer
Medium
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Qual 4.0
Loss spikes the moment warmup ends: which hyperparameter is the prime suspect?
Short Answer
Medium
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Qual 4.0
A DPO run spikes to NaN around step 400 after a clean start: explain the most likely cause
Short Answer
Medium
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Qual 4.0
Train loss drops while eval loss climbs at step 1200: name it and the standard fixes
Short Answer
Medium
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Qual 4.0
Contrast SFT and continued pretraining when adapting a base model to medical text
Short Answer
Medium
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Qual 4.0
Compare LoRA r=8 vs r=64 on a 13B model on the quality-vs-cost curve
Short Answer
Medium
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Qual 4.0
Describe the JSON shape of a Claude Opus 4.7 assistant message that calls a tool
Short Answer
Medium
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Qual 4.0
Anthropic
Defend the claim that full fine-tuning still beats LoRA for some 2026 production workloads
Short Answer
Medium
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Qual 4.0
How does a Vision Transformer turn an image into a sequence, and what mask runs over it?
Short Answer
Medium
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Qual 4.0
Define T5's relative position bias and what bucketing buys you
Short Answer
Medium
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Qual 4.0
Walk through KV-cache updates when speculative decoding rejects some draft tokens
Short Answer
Medium
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Qual 4.0
Explain effective context for Mistral's 4096 sliding window over a 16k input
Short Answer
Medium
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Qual 4.0
Sliding-window attention can't see beyond the window. Describe the trick that recovers older context.
Short Answer
Medium
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Qual 4.0
Why not just retrain models to eliminate attention sinks entirely?
Short Answer
Medium
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Qual 4.0
Why does normalizing Q and K before the dot product help training at scale?
Short Answer
Medium
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Qual 4.0
Beyond shape preservation, name two things W_O does after head concat
Short Answer
Medium
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Qual 4.0
Why does MQA underperform GQA when both share KV across heads?
Short Answer
Medium
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Qual 4.0
Showing 51–75 of 362
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