1. Transformer(9) 章节新增两篇论文：LIMA、LLAMA2
2. 新建 PEFT 章节，包括 10 篇关于 LORA 和 ADAPTER 相关的热门论文:
    * 《Parameter-Efficient Transfer Learning for NLP》
    * 《BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models》
    * 《LoRA: Low-Rank Adaptation of Large Language Models》
    * 《Towards a Unified View of Parameter-Efficient Transfer Learning》
    * 《AdapterDrop: On the Efficiency of Adapters in Transformers》
    * 《AdapterFusion: Non-Destructive Task Composition for Transfer Learning》
    * 《QLoRA: Efficient Finetuning of Quantized LLMs》
    * 《AdapterHub: A Framework for Adapting Transformers》
    * 《Compacter: Efficient Low-Rank Hypercomplex Adapter Layers》
    * 《MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer》

完整内容参考: https://www.huaxiaozhuan.com/
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