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Fine-tune GPT-2 on JSONL datasets (supporting both generic text and Q&A formats) using Hugging Face Transformers, with a focus on memory-efficient training strategies like mixed precision and gradient accumulation.
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
Guides users through the process of preparing datasets and fine-tuning local Large Language Models (LLMs) using techniques like LoRA and QLoRA.
Agent skill for ML / AI Engineer, Data Scientist, Researcher, published by 4444J99. Project details and file access are provided by the publisher.
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