Open-source study to measure end user satisfaction levels with LLMs
The LLM challenge - an online study - aims to answer a simple question: what is the quality corridor that matters to end users when interacting with LLMs? At what point do users stop seeing a quality difference and at what point do users get frustrated by poor LLM quality. The project is an Apache 2.0 licensed open source project available on Github: https://github.com/open-llm-initiative/llm-challenge. And the challenge is hosted on AWS as a single-page web app, where users see greeting text, followed by a randomly selected prompt and a LLM response, which they must rate…
Open-source study to measure end user satisfaction levels with LLMs launched on August 27, 2024 with 12 votes, #1,297 of 5,471 launches that month and more than 75% of that year's launches.
In plain words
The LLM Challenge is an open-source online study that measures end-user satisfaction with large language models across real-world tasks. Participants rate randomly selected LLM responses on a 1-5 scale across use cases including information extraction, summarization, creative writing, and problem-solving. The Apache 2.0 licensed project, hosted as a web application on AWS, aims to identify the quality thresholds where users perceive meaningful differences in LLM performance and where they become frustrated with poor quality.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
The LLM challenge - an online study - aims to answer a simple question: what is the quality corridor that matters to end users when interacting with LLMs? At what point do users stop seeing a quality difference and at what point do users get frustrated by poor LLM quality. The project is an Apache 2.0 licensed open…
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