Prompt engineering: Difference between revisions
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===User-created Parameters=== | ===User-created Parameters=== | ||
====Introduction==== | ====Introduction==== | ||
These are user-created parameters. They serve to convey the intent of the users in a more concise way. These are not part of the [[model]] API but patterns the [[LLM]] has picked up through its [[training]]. These parameters are just a compact way to deliver what is usually expressed in [[natural language]] | These are user-created parameters. They serve to convey the intent of the users in a more concise way. These are not part of the [[model]] API but patterns the [[LLM]] has picked up through its [[training]]. These parameters are just a compact way to deliver what is usually expressed in [[natural language]]. | ||
====Example in ChatGPT==== | ====Example in ChatGPT==== | ||
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====List==== | We add "Prompt: " to the start of our prompt to make sure [[ChatGPT]] knows where our prompt is. We add the [[GPT]] parameter [[temperature]], which goes from 0 to 1 to indicate the following parameters also range from 0 to 1. Then we list our parameters along with their values which go from 0 to 1 (0 is the smallest, and 1 is the largest). Note that having too many or contradictory parameters may lower the quality of the response. | ||
====List of Parameters==== | |||
[[Professionalism]] | [[Professionalism]] | ||
Revision as of 13:39, 5 March 2023
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Parameters
Common Parameters
Temperature
Perplexity
Burstiness
User-created Parameters
Introduction
These are user-created parameters. They serve to convey the intent of the users in a more concise way. These are not part of the model API but patterns the LLM has picked up through its training. These parameters are just a compact way to deliver what is usually expressed in natural language.
Example in ChatGPT
Prompt: Write a paragraph about how adorable a puppy is.
Temperature: 0.5
Sarcasm: 0.9
We add "Prompt: " to the start of our prompt to make sure ChatGPT knows where our prompt is. We add the GPT parameter temperature, which goes from 0 to 1 to indicate the following parameters also range from 0 to 1. Then we list our parameters along with their values which go from 0 to 1 (0 is the smallest, and 1 is the largest). Note that having too many or contradictory parameters may lower the quality of the response.