Definition
Perplexity
Perplexity is a core evaluation metric in natural language processing measuring how well a probability distribution or language model predicts a sample of text.
Frequently Asked Questions
How do you interpret perplexity scores?▼
Lower perplexity means the model is more confident and accurate in its predictions.
How is perplexity calculated?▼
It is mathematically defined as the exponentiated cross-entropy loss of the model on the evaluation set.
Quick Facts
- CategoryMathematical Foundations
- Key ApplicationModel evaluation, dataset alignment testing, training loss checking.
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SiliconANGLEJun 19, 2026
Architect Labs nabs $24M to speed up chip design projects with AI
Chip design startup Architect Labs Inc. launched today with $24 million in funding from a group of prominent investors. Kindred Ventures led the seed round. It was joined by Perplexity AI Inc. Chief Executive Officer Aravind Srinivas, Transformer co-inventor Lukasz Kaiser, former OpenAI Group PBC ex