According to DeepLearning.AI, messy labels can significantly impact the performance of machine learning models. Standardizing definitions, merging ambiguous classes, and refining labeling strategies are practical ways to enhance model performance, as explored in Andrew Ng's Machine Learning in Production.

According to DeepLearning.AI, DeepSeek utilizes a Mixture of Experts architecture to increase model efficiency and performance, potentially providing traders with advanced predictive tools without the cost associated with larger models. This approach could enhance algorithmic trading strategies by optimizing resource allocation and reducing operational costs (source: DeepLearning.AI).