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GPT Prompt Engineer AI Tool Features, Use Cases & Alternatives

GPT Prompt Engineer

GPT Prompt Engineer - Generate language prompts

GPT Prompt Engineer Details

GPT Prompt Engineer Info

Organization:
GPT Prompt Engineer
Type:
  1. AI Text
Marked As:
SFW (Safe for Work)
Platform:
  1. Open Source
Pricing:
  1. Free
From $0
Rating:
0
(45 Likes)

GPT Prompt Engineer Website Links

GPT Prompt Engineer Link

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The GitHub repository “mshumer/gpt-prompt-engineer” is a public repository that contains code related to a project called “GPT-PROMPT-ENGINEER”. The repository has received 793 stars and 65 forks from the GitHub community.

The commits include updates to the README.md file.However, the text provided does not provide specific details about the functionality or purpose of the “GPT-PROMPT-ENGINEER” project.

Therefore, without further information, it is not possible to provide a precise description of what the tool does.It is worth noting that GitHub is a widely used platform for version control and collaboration on software development projects.

More details about GPT Prompt Engineer

How does GPT-PROMPT-ENGINEER use GitHub?

GPT-PROMPT-ENGINEER utilizes GitHub for version control and collaboration. It can found publicly hosted on GitHub, marked by the open community with 793 stars and 65 forks, signifying its recognition and potential for collaboration.

Does GPT-PROMPT-ENGINEER come with a version for classification tasks?

Yes, GPT-PROMPT-ENGINEER does include a version specifically designed for classification tasks. In this variation, GPT-PROMPT-ENGINEER evaluates the correctness of a test case by matching it to the expected output and provides a table with the scores for each prompt.

What are the main features of GPT-PROMPT-ENGINEER?

The main features of GPT-PROMPT-ENGINEER are: prompt generation using GPT models, testing of each prompt against all the test cases, ranking of the prompts using an ELO rating system, availability of a classification version and optional logging to Weights & Biases of the configs, system and user prompts for each part, test cases used and the final ranked ELO rating for each candidate prompt.

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