Articles for category: AI Tools

Customize DeepSeek-R1 distilled models using Amazon SageMaker HyperPod recipes – Part 1

Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance for specific use cases, customers are adopting and adapting these FMs to their unique domain requirements. This need for customization has become even more pronounced with the emergence of new models, such as those released by DeepSeek. However, customizing DeepSeek models effectively while managing computational resources remains a significant challenge. Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. This often forces companies to choose between model performance and practical implementation constraints,

Generative AI to quantify uncertainty in weather forecasting

In December 1972, at the American Association for the Advancement of Science meeting in Washington, D.C., MIT meteorology professor Ed Lorenz gave a talk entitled, “Does the Flap of a Butterfly’s Wings in Brazil Set Off a Tornado in Texas?”, which contributed to the term “butterfly effect”. He was building on his earlier, landmark 1963 paper where he examined the feasibility of “very-long-range weather prediction” and described how errors in initial conditions grow exponentially when integrated in time with numerical weather prediction models. This exponential error growth, known as chaos, results in a deterministic predictability limit that restricts the use