Machine Learning — Hard
Key points
- Temperature parameter adjusts the uncertainty in model predictions
- Lower temperature leads to more confident, deterministic outputs
- Higher temperature introduces more randomness and diversity
- It affects the trade-off between generating novel versus coherent text
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