Prompt engineering: Difference between revisions

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Example

Tom Hanks is a _ by profession.

see more...^[1]

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: 1.0
Sarcasm: 0.9
Vividness: 0.4

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

References

↑ How Can We Know What Language Models Know? https://arxiv.org/abs/1911.12543/

[”1”-1] How Can We Know What Language Models Know? https://arxiv.org/abs/1911.12543/

[1]

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 <blockquote>
 Tom Hanks is a _ by profession.
-</blockquote><ref name="”1”">How Can We Know What Language Models Know? https://arxiv.org/abs/1911.12543/</ref>
+</blockquote>
+see more...<ref name="”1”">How Can We Know What Language Models Know? https://arxiv.org/abs/1911.12543/</ref>
 ==Parameters==