> ## 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.

# 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.
* Low presence penalty allows the model to stay on topic.

## **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.

## **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.

## **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.

## T**echnical 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.

## **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.