PEFT Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Paper • 2205.05638 • Published May 11, 2022 • 6 LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Paper • 2303.16199 • Published Mar 28, 2023 • 5
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Paper • 2205.05638 • Published May 11, 2022 • 6
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Paper • 2303.16199 • Published Mar 28, 2023 • 5
PEFT Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Paper • 2205.05638 • Published May 11, 2022 • 6 LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Paper • 2303.16199 • Published Mar 28, 2023 • 5
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Paper • 2205.05638 • Published May 11, 2022 • 6
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Paper • 2303.16199 • Published Mar 28, 2023 • 5
