diff --git a/src/data/roadmaps/prompt-engineering/content/prompt-debiasing@0H2keZYD8iTNyBgmNVhto.md b/src/data/roadmaps/prompt-engineering/content/prompt-debiasing@0H2keZYD8iTNyBgmNVhto.md index b7b71a717..95766b110 100644 --- a/src/data/roadmaps/prompt-engineering/content/prompt-debiasing@0H2keZYD8iTNyBgmNVhto.md +++ b/src/data/roadmaps/prompt-engineering/content/prompt-debiasing@0H2keZYD8iTNyBgmNVhto.md @@ -1,3 +1,6 @@ # Prompt Debiasing -Prompt debiasing involves techniques to reduce unwanted biases in LLM outputs by carefully crafting prompts. This includes using neutral language, diverse examples, and explicit instructions to avoid stereotypes or unfair representations. Effective debiasing helps ensure AI outputs are more fair, inclusive, and representative across different groups and perspectives. \ No newline at end of file +Prompt debiasing involves techniques to reduce unwanted biases in LLM outputs by carefully crafting prompts. This includes using neutral language, diverse examples, and explicit instructions to avoid stereotypes or unfair representations. Effective debiasing helps ensure AI outputs are more fair, inclusive, and representative across different groups and perspectives. + + +- [@article@Prompt Debiasing](https://learnprompting.org/docs/reliability/debiasing)