jhancock532/imaginary-people
A data visualisation of a 100 responses when asking local LLMs to imagine a random person.
This project offers a unique way to visualize how different large language models (LLMs) "imagine" a random person when prompted. You input the raw text responses from various local LLMs, and it outputs an interactive data visualization. This is useful for researchers, AI practitioners, or curious individuals evaluating or comparing the creative outputs and biases of different LLM models.
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Use this if you want to visually explore and compare the characteristics of imaginary people generated by different local LLMs.
Not ideal if you are looking to generate new LLM responses or analyze text data from non-LLM sources.
Stars
24
Forks
1
Language
TypeScript
License
MIT
Category
Last pushed
Nov 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/jhancock532/imaginary-people"
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