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Documentation Index

Fetch the complete documentation index at: https://docs.typingmind.com/llms.txt

Use this file to discover all available pages before exploring further.

Here are some suggested combination parameters for specific use cases that might be helpful.

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Customer support

temperature: 0.2 top_p: 0.5 presence penalty: 0 frequency penalty: 0.6 In customer support, accurate and targeted responses are vital.
  • Lower temperature and top_p values ensure that the AI’s responses are precise and on point.
  • Higher frequency penalty prevents the overuse of certain phrases.
  • Low presence penalty allows the model to stay on topic.

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Creative writing

temperature: 0.9 top_p: 0.9 presence Penalty: 0.6 frequency Penalty: 0 Creative writing requires imaginative and original content.
  • High temperature and top_p value encourages diverse and unpredictable outputs.
  • High presence penalty promotes novelty in the text
  • Low frequency penalty allows the AI to occasionally repeat phrases for stylistic effect.

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Academic writing

temperature: 0.2 top_p: 0.5 presence Penalty: 0.1 frequency Penalty: 0.6 Academic writing should be accurate, structured, and stay on the topic.
  • Low temperature and top_p values result in focused and reliable outputs.
  • Low presence penalty keeps the model on topic.
  • High frequency penalty avoids the overuse of certain phrases or terms.

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Social media post

temperature: 0.8 top_p: 0.9 presence Penalty: 0 frequency Penalty: 0.3 Social media posts should be engaging, casual, and often use recurring themes or hashtags.
  • High temperature and top_p value encourage creative and diverse outputs.
  • Low presence and frequency penalty values allow for the reuse of popular words, phrases, or topics that are common in social media trends.

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Technical documentation

temperature: 0.3 top_p: 0.5 presence Penalty: 0.1 frequency Penalty: 0.6 Technical documentation needs to be clear, concise, and focused.
  • Lower temperature and top_p ensure deterministic and consistent output.
  • Low presence penalty helps the model stick to the specific technical topic.
  • Higher frequency penalty prevents the overuse of specific technical terms.

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Product description

temperature: 0.7 top_p: 0.9 presence Penalty: 0.1 frequency Penalty: 0.2 Product descriptions should be engaging, creative, and use repetitive phrases for emphasis.
  • Moderate temperature and high top_p value allow for a balance of creative and focused outputs.
  • Low presence penalty encourages sticking to the product’s main features.
  • Low frequency penalty allows the repetition of key product attributes for emphasis.