Fine-tuning large language models (LLMs) can be resource-intensive, requiring immense computational power. LoRA (Low-Rank Adaptation) and QLoRA (Quantized Low-Rank Adaptation) offer efficient alternatives for training these models while using fewer r...
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Widely known as fotiecodes, combining a strong foundation in software engineering and a focus on machine learning, I'm passionate about open-source projects and driving innovation in technology.