Explain the trade-offs between parameter-efficient fine-tuning (PEFT/LoRA) and full-parameter fine-tuning when adapting an open-source model like Llama for a highly structured task at Decagon.
Problem
Explain the trade-offs between parameter-efficient fine-tuning (PEFT/LoRA) and full-parameter fine-tuning when adapting an open-source model like Llama for a highly structured task at Decagon.
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