mshumer/gpt-prompt-engineer - GitHub vs No Code AI Model Builder

In the contest of mshumer/gpt-prompt-engineer - GitHub vs No Code AI Model Builder, which AI Model Generation tool is the champion? We evaluate pricing, alternatives, upvotes, features, reviews, and more.

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When we examine mshumer/gpt-prompt-engineer - GitHub and No Code AI Model Builder, both of which are AI-enabled model generation tools, what unique characteristics do we discover? Both tools have received the same number of upvotes from aitools.fyi users. Every vote counts! Cast yours and contribute to the decision of the winner.

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mshumer/gpt-prompt-engineer - GitHub

mshumer/gpt-prompt-engineer - GitHub

What is mshumer/gpt-prompt-engineer - GitHub?

mshumer/gpt-prompt-engineer is an open source prompt engineering toolkit that generates, tests, and ranks candidate prompts for a task you define. You describe the use case, supply test cases, and the notebooks create multiple prompt variants, run them against every test case, and sort results with an ELO rating system starting at 1200. It ships as Jupyter notebooks you can run in Google Colab or locally.

Most prompt tools help you write one prompt at a time. gpt-prompt-engineer treats prompt selection like a tournament: dozens of candidates compete on your test cases, and the highest ELO scores surface the winners. Separate notebooks cover classification tasks, Claude 3 Opus with auto-generated test cases, and Opus-to-Haiku conversion for cheaper inference. Optional Weights & Biases and Portkey logging trace each run.

ML engineers, prompt engineers, and AI developers use it when they need reproducible prompt tuning instead of manual trial and error. The repo has 9.7k GitHub stars and runs on your own OpenAI or Anthropic API keys. It is free under the MIT license.

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mshumer/gpt-prompt-engineer - GitHub Upvotes

6

No Code AI Model Builder Upvotes

6

mshumer/gpt-prompt-engineer - GitHub Top Features

  • Generates multiple prompt candidates from a task description and user-supplied test cases

  • Ranks prompts with an ELO rating system starting at 1200 per candidate

  • Supports GPT-4, GPT-3.5-Turbo, and Claude 3 Opus model backends

  • Classification notebook scores true/false test cases and prints a results table

  • Claude 3 notebook auto-generates test cases from input variable definitions

  • Opus-to-Haiku conversion notebook cuts latency and cost while preserving output quality

  • Optional Weights & Biases and Portkey logging for experiment tracking

No Code AI Model Builder Top Features

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mshumer/gpt-prompt-engineer - GitHub Category

    Model Generation

No Code AI Model Builder Category

    Model Generation

mshumer/gpt-prompt-engineer - GitHub Pricing Type

    Free

No Code AI Model Builder Pricing Type

    Freemium

mshumer/gpt-prompt-engineer - GitHub Technologies Used

Python
GitHub
Chakra UI
Ant Design
Amazon Web Services
Tailwind CSS

No Code AI Model Builder Technologies Used

mshumer/gpt-prompt-engineer - GitHub Tags

Prompt Engineering
Open Source
Jupyter Notebook
ELO Ranking
GPT-4
Claude 3
Google Colab
GPT-3.5-Turbo

No Code AI Model Builder Tags

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By Rishit