#finetuning #llm #lora #peft
The easiest way to fine-tune a large language model with LoRA or low-rank adaptation method: Parameter Efficient Fine Tuning ( PEFT) beginner’s hands-on tutorial with code link.

The code & process of fine-tuning with LoRA:
https://github.com/Maryam-Nasseri/Fin...

Full fine-tuning large language models:
   • ✅ Easiest Way to Fine-tune LLMs Local...  

Key Terms & Concepts:
low-rank adaptation (LoRA), Parameter Efficient Fine Tuning ( PEFT), LoRA configuration, LoRA adapters, training parameters, model weights, weight update matrix, backpropagation, classification task, RoBERTa, transformers, PyTorch, peft model, sequence classifier, dropout, lora rank, bias, weight decay, regularization, gradient accumulation, gradient checkpointing, fp16 vs bf16 floating point representations, merge the model.

   / @analyticscamp