Mastering LLMs: Fine-Tuning, DeepSpeed, and PyTorch Lightning
Автор: EuroCC 2 and EuroCC4SEE
Загружено: 2026-02-24
Просмотров: 45
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This comprehensive session focuses on the tools and techniques required to manage Large Language Models (LLMs) and complex workflows. Francesco Fiusco from NCC Sweden introduces PyTorch Lightning as a high-level framework to automate and organise research code. Geert Jan Bex from NCC Belgium then provides a deep dive into the world of LLMs and specific fine-tuning methodologies. Finally, Riccardo Scheda from NCC Italy demonstrates how to leverage HuggingFace Accelerate and DeepSpeed to achieve extreme memory efficiency and training speed.
CASTIEL 2 has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101102047. The JU receives support from the European Union‘s Digital Europe Programme and Germany, Italy, Spain, France, Belgium, Austria, Estonia.
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