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

Applications