/
githubmirror
/
Prompt-Engineering-Guide
Обзор
Документация
Войти
/
githubmirror
/
Prompt-Engineering-Guide
Код
Запросы
0
Пакеты
0
Релизы
0
Аналитика
Безопасность
main
pages/introduction.ca.mdx
11 строк
1 KB
Elvis Saravia
fixed dynamic cards
16 янв 2024, 09:38
16 янв 2024, 09:38
5fa0291
Код
Авторство
О чём код?
# Introduction import ContentFileNames from 'components/ContentFileNames' Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools. This guide covers the basics of prompts to provide a rough idea of how to use prompts to interact and instruct LLMs. All examples are tested with `text-davinci-003` using [OpenAI's playground](https://platform.openai.com/playground) unless otherwise specified. The model uses the default configurations, i.e., `temperature=0.7` and `top-p=1`. <ContentFileNames section="introduction" lang="ca"/>