Fine-Tuning and Compression of Large Language Models

This intermediate-level workshop introduced practical methods for fine-tuning and compressing large language models. Topics included full fine-tuning versus parameter-efficient fine-tuning, Low-Rank Adaptation (LoRA), QLoRA, key LoRA hyperparameters, model quantization, and GGUF conversion for local deployment.
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