The softmax function transforms a set of numbers (logits) into probabilities that add up to 1,…
The softmax function transforms a set of numbers (logits) into probabilities that add up to 1, making them useful for generation. When we add temperature, it’s like adding a control to adjust how “decisive” these choices become. A low temperature (like 0.1) makes the model choose definite higher values– if it sees logits showing slight preferences, it will strongly commit to the highest ones. High temperature (like 2.0) does the opposite – it makes the model more uncertain and willing to consider options more equally, like a judge who sees shades of gray in every decision. C: @3blue1brown Join our AI community for more posts like this @aibutsimple 🤖 #computerscience #computerengineering #math #machinelearning #coding #datascience #statistics
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