What is perplexity and how interpret it?

How It Works:

Perplexity quantifies a model?s uncertainty over a text sequence: lower values mean the model predicts the next token more confidently.

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Key Benefits:

• Model comparison: Benchmark language models on the same data.
• Hyperparameter tuning: Guide model size and regularization choices.
• Progress tracking: Monitor learning during training.

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Real-World Use Cases:

• Language modeling: Evaluate GPT variants.
• Speech recognition: Compare acoustic models.