Frequency Penalty
A parameter that reduces the likelihood of repetition in generated text by penalizing frequently used words.
Description
Frequency Penalty is a parameter used in language models to reduce the likelihood of repetition in generated text. It works by applying a penalty to tokens based on how frequently they've been used so far in the generated text. A higher frequency penalty makes the model less likely to repeat the same words or phrases, potentially leading to more diverse and natural-sounding output.
Examples
- 📝 Long-form content generation
- 🤖 Chatbot conversations
- 📚 Story writing
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