Training LLMs Isn't Rolling a Ball Downhill: Loss Landscape Video Reveals the Mystery of Gradient Descent
emax · x · 2026-08-24
An AI researcher recommends a free video explaining why Llama and GPT-5 don't get stuck during training. The video shows the complexity of the loss landscape, noting that training isn't simply rolling a ball downhill; instead, models can enter new valleys via a 'wormhole' effect, avoiding local optima. It covers from an 1847 paper to trillion-parameter frontier models, including the gradient descent methods used by Meta and OpenAI.
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