# Suggested parameter combinations Here are some suggested combination parameters for specific use cases that might be helpful. ### 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. ### 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 ### 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. ### 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. ### 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. ### 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aichatone.com/product-guides/parameter-settings/suggested-parameter-combinations.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.