What if LLMs knew when to stop? 🚧
HALT finetuning teaches LLMs to only generate content they’re confident is correct.
🔍 Insight: Post-training must be adjusted to the model’s capabilities.
⚖️ Tunable trade-off: Higher correctness 🔒 vs. More completeness 📝
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