Prompt engineering

Revision as of 18:01, 5 March 2023 by Alpha5 (talk | contribs)


Emergent Prompting

=chain-of-thought prompting

Fill in the Blank

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

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