Data

Tools

Indexes

Applications

Experiments

Open Source Science

prompt-engineering-guide

Prompt Engineering Guide

https://github.com/getkksingh1/prompt-engineering-guide

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Prompt Engineering Guide

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

Prompt Engineering Guide

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.

Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, learning guides, lectures, references, and tools related to prompt engineering for LLMs.

Guides

You can also find the most up-to-date guides on our new website https://promptingguide.agie.ai/.

Running the guide locally

To run the guide locally, for example to check the correct implementation of a new translation, you will need to:

  1. Install Node >=18.0.0
  2. Install npm if not present in your system.
  3. Install the dependencies: npm i next react react-dom nextra nextra-theme-docs
  4. Boot the guide with npm dev
  5. Browse the guide at http://localhost:3000/

License

MIT License

This is fork of dair-ai/Prompt-Engineering-Guide, all other languages except English support has not removed to make it light weight.

Owner

  • Name: Krishna Singh
  • Login: getkksingh1
  • Kind: user
  • Location: India
  • Company: FanTiger

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Saravia"
  given-names: "Elvis"
title: "Prompt Engineering Guide"
date-released: 2022-12-16
url: "https://github.com/dair-ai/Prompt-Engineering-Guide"
preferred-citation:
  type: article
  authors:
  - family-names: "Saravia"
    given-names: "Elvis"
  month: 12
  journal: "https://github.com/dair-ai/Prompt-Engineering-Guide"
  title: "Prompt Engineering Guide"
  year: 2022

GitHub Events

Total
Last Year

Dependencies

package-lock.json npm
  • 595 dependencies
package.json npm
  • @types/node 18.11.10 development
  • typescript ^4.9.5 development
  • @fortawesome/fontawesome-svg-core ^6.5.1
  • @fortawesome/free-solid-svg-icons ^6.5.1
  • @fortawesome/react-fontawesome ^0.2.0
  • @svgr/webpack ^8.1.0
  • @vercel/analytics ^0.1.11
  • clsx ^2.1.0
  • next ^13.5.6
  • nextra ^2.13.2
  • nextra-theme-docs ^2.13.2
  • react ^18.2.0
  • react-dom ^18.2.0
pnpm-lock.yaml npm
  • 595 dependencies
yarn.lock npm
  • 592 dependencies