How to deploy and fine-tune DeepSeek models on AWS

The article outlines the process for deploying and fine-tuning DeepSeek models on AWS, detailing the use of Amazon SageMaker for model training and deployment. It covers specific steps for configuring the environment, including instance selection and data preprocessing, as well as techniques for hyperparameter tuning to optimize model performance. This guidance is crucial for practitioners looking to efficiently leverage AWS infrastructure for scalable deployment of DeepSeek models in production environments.