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GPT Prompt Engineer ✓

AI-powered prompt engineering for GitHub

Source rating 5.0 (1) 2.6k views 985.4M/mo traffic 79 saves Free
GPT Models Prompt Generation GitHub Tool
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Data Engineering AI Assistance Automation Prompts
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Verdict

A quick read before you dig into the full page.

Best if
AI-powered prompt engineering for GitHub
Skip if
Limited to Jupyter notebooks
Pick this when
Public GitHub repository

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Overview

The 'gpt-prompt-engineer' is an AI tool available on GitHub, created by 'mshumer'. The tool aims to enhance the workload of data engineers working with Generative Pretrained Transformer models (GPT-models).

Its purpose is to automate and streamline the process of generating prompts that work well with GPT models. This is beneficial as it eliminates the manual task of trial-and-error in creating effective prompts, saving valuable time and resources.

The tool contains a number of files and notebooks like 'Instruct_Prompt > Base_Model_Prompt_Converter.ipynb', 'XL_to_XS_conversion.ipynb', 'claude_prompt_engineer.ipynb' and 'gpt_prompt_engineer.ipynb', which facilitate the prompt generation process.

The tool operates under MIT License providing users with the liberty to use, modify, and distribute the software. Through its public repository, it encourages wide community contribution towards its development.

GPT Prompt Engineer website

Access & connections

Where you can use GPT Prompt Engineer, and what it plugs into.

Platforms

Web

Integrations

GitHub

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular
  • Text

Output

  • Tabular
  • API
  • Text

Pros & cons

Pros

  • Public GitHub repository
  • Actively maintained
  • Automates prompt generation
  • Eliminates manual task
  • Saves time and resources
  • Multiple files and notebooks
  • Freedom to modify software
  • Supports community contribution
Show 19 more
  • Prompt Generation
  • Resource Optimization
  • Jupyter Notebook support
  • Contains 'XL to XS conversion'
  • Automates Claude Prompt Engineering
  • Released under MIT License
  • ELO rating system
  • Handles classification tasks
  • Working with Anthropic's Claude 3 Opus
  • Optimizes Opus and Haiku models
  • Optional logging to Weights & Biases
  • Optional logging to Portkey
  • Possible to define multiple input variables
  • Optional use of Google Colab
  • Ability to add Anthropic API key
  • Built-in system for prompt testing and ranking
  • Generates, tests, and ranks prompts
  • Supports real-time information input
  • Handles Claude 3 Opus & Haiku conversion

Cons

  • Requires API key setup
  • Manual test case configuration
  • Limited to Jupyter notebooks
  • High running costs possible
  • Optional logging to third-party platforms
  • Potential latency for large datasets

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Releases 1

Initial release July 4, 2023 Current
Initial release of GPT Prompt Engineer.

FAQ 12

What is GPT-Prompt-Engineer?
GPT-Prompt-Engineer is a public repository maintained on GitHub. Created by GitHub user 'mshumer', it is an AI tool designed to improve the efficiency of data engineers working with Generative Pretrained Transformer (GPT) models. It aids in the automatic generation of prompts that are compatible with these models, thereby reducing manual experimentation, and optimizing resources.
How does GPT-Prompt-Engineer work?
GPT-Prompt-Engineer works by generating prompts for GPT models based on the instructions or tasks provided by the user. It contains multiple Jupyter notebooks such as 'Instruct_Prompt > Base_Model_Prompt_Converter.ipynb', 'XL_to_XS_conversion.ipynb', 'claude_prompt_engineer.ipynb' and 'gpt_prompt_engineer.ipynb'. These notebooks contain the code that automates and streamlines the process of creating effective prompts. The tool operates on an MIT License, allowing users to freely use, modify, and distribute it.
What are the key features of GPT-Prompt-Engineer?
Key features of GPT-Prompt-Engineer include automation and resource optimization for prompt generation, compatibility with GPT models, and the ability to convert instructions to base model prompts. It also contains a Claude Prompt Engineer and has functionalities for XL to XS conversions. It is powered by Jupyter Notebook, a web-based interactive notebook environment that allows the combination of software code, computational output, explanatory text, and multimedia resources in a single document.
Who created the 'GPT-Prompt-Engineer' tool?
The GPT-Prompt-Engineer tool has been created by a GitHub user, 'mshumer'. It's maintained and consistently updated in the 'mshumer/gpt-prompt-engineer' GitHub repository.
What are the benefits of using GPT-Prompt-Engineer?
Users can expect several benefits from using GPT-Prompt-Engineer. It enhances the workload of data engineers by eliminating the manual task of creating effective prompts for GPT models. It also automates this potentially time-consuming process, thus facilitating resource optimization. Additionally, under the MIT License, users have the freedom to use, modify, and distribute the software.
Does GPT-Prompt-Engineer automate the process of generating prompts?
Yes, GPT-Prompt-Engineer automates the process of generating prompts. It inputs a task or test case and generates, tests and ranks multiple prompts to find the most effective ones. This process reduces the manual effort involved in experimenting with different prompts for better results.
What is the 'Instruct_Prompt > Base_Model_Prompt_Converter.ipynb' file?
The 'Instruct_Prompt > Base_Model_Prompt_Converter.ipynb' file is a part of GPT-Prompt-Engineer's repository on GitHub. However, without more specific information about this file, it's difficult to give a precise description of its actual function or purpose within the project.
What is Claude Prompt Engineer in GPT-Prompt-Engineer's repository?
Claude Prompt Engineer is mentioned in GPT-Prompt-Engineer's GitHub repository. It seems to be a part of the project, likely another Jupyter notebook with distinct code. Unfortunately, without more specific information, it's difficult to give precise details about its functionality or purpose.
What is the 'XL_to_XS_conversion.ipynb' file?
'XL_to_XS_conversion.ipynb' is a file found in the 'GPT-Prompt-Engineer' GitHub repository. It's saved as a Jupyter Notebook file and is part of the project modules. However, without further information, it's difficult to provide a detailed interpretation of its functionality.
What is Jupyter Notebook as mentioned in the description of GPT-Prompt-Engineer?
Jupyter Notebook, often simply called 'Notebook', is an open-source web application which allows creation and sharing of documents. These documents can contain both code (e.g., python or R) and rich text elements like paragraphs, equations, figures, links, etc. This blend of code and text opens up an opportunity for users to perform and present data analysis in a single document that combines executable code, explanatory text, charts, and visuals.
What type of license does GPT-Prompt-Engineer operate under?
The GPT-Prompt-Engineer tool operates under the MIT License.
What is the MIT License mentioned in GPT-Prompt-Engineer's description?
The MIT License is a type of open source license that originated at the Massachusetts Institute of Technology. It is a permissive license, meaning it allows users to freely use, modify and distribute a software without the concern of use restrictions. This license fosters open collaboration and widespread distribution of the software.
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