PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium
amazon.com

by Georgios Ioannides, Bingchen Liu, Jeremy Roghair, Hannah Marlowe • 2 months ago

Amazon SageMaker HyperPod enables efficient fine-tuning of large language models (LLMs) like Meta's Llama 3 using Parameter-Efficient Fine Tuning (PEFT) methods such as LoRA, significantly reducing costs and training time. By leveraging AWS Trainium and Hugging Face's Optimum-Neuron SDK, companies can fine-tune models with reduced computational requirements and improved performance. This setup simplifies distributed training, effectively managing resources while enhancing AI capabilities for specific tasks.

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