LLM Settings | Prompt Engineering Guide

A Comprehensive Overview of Prompt Engineering

When designing and testing prompts, you typically interact with the LLM via an API. You can configure a few parameters to get different results for your prompts. Tweaking these settings are important to improve reliability and desirability of responses and it takes a bit of experimentation to figure out the proper settings for your use cases. Below are the common settings you will come across when using different LLM providers: Temperature - In short, the lower the temperature, the more deterministic the results in the sense that the highest probable next token is always picked. Increasing…

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• Hangyul Lyna Kim
• Nguyen Hoang Thao

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