According to @godofprompt, DeepMind researchers have discovered that neural networks can undergo thousands of training epochs without showing meaningful learning, only to suddenly generalize perfectly ...

According to @godofprompt, achieving grokking in AI models—where a model transitions from memorization to generalization—depends on several critical factors: the use of weight decay (L2 regularization ...

Abstract: In the realm of machine learning, understanding how models arrive at their predictions or decisions, known as mechanistic interpretability, is crucial for trust, transparency, and refinement ...

Forbes contributors publish independent expert analyses and insights. I write about relationships, personality, and everyday psychology. For decades, intelligence has been often reduced to a number — ...