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Lora by Saurabh Ramteke is a document available to read on EtoBox.
What is Lora about?
The document discusses the evolution of training large language models (LLMs), emphasizing the shift from pre-training to post-training (fine-tuning) stages. It introduces concepts like Low-Rank Adaptation (LoRA) and Quantized Low-Rank Adaptation (QLoRA) to improve efficiency in model fine-tuning, reducing computational costs and memory usage. Additionally, it highlights various parameter-efficient fine-tuning techniques, including adapter tuning and DoRA, aimed at optimizing model performance while minimiz
- Author
- Saurabh Ramteke
- Language
- EN