Machine Learning Street Talk (MLST) cover image

Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

Machine Learning Street Talk (MLST)

NOTE

Optimizers and Training Models

Algorithms learn from data, traditionally through gradient-based optimization methods. However, this approach leads to overfitting on average data, requiring extensive training data and causing models to forget previous data with each update. In contrast, humans have long-term and short-term memory capabilities.

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