Llm

LoRA is a groundbreaking technique that optimizes language models by dramatically reducing the number of trainable parameters, preserving efficiency, and maintaining or even enhancing performance across diverse tasks.

Recent advancements in NLP leverage pre-training and fine-tuning, yet these methods require extensive task-specific data. Human-like few-shot learning remains a challenge.