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Understanding LLM | A Transformative Reading List
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
Finetuning Falcon LLMs More Efficiently With LoRA and Adapters
Improving LoRA: Implementing DoRA from Scratch
How to Fine-Tune LLMs with Hugging Face
Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch
Some Techniques To Make Your PyTorch Models Train (Much) Faster
Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters