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[GH-ISSUE #3450] I want to make a opensource prompt and response database . #48639

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opened 2026-04-28 08:58:28 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-04-28 08:58:28 -05:00
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Originally created by @hemangjoshi37a on GitHub (Apr 2, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/3450

What are you trying to do?

In this I want users to give their consent about open sourcing their prompt-response pairs to a centralized database from which everyone can train their model and using this we can infinitely improve our models.

How should we solve this?

adding a consent tick check box in the box that says that i am willing to donate my data to this centralized opensource database. after this whenever a user makes any llm query then the prompt-response pair will be sent to our centralized database and it will be stored. here we can also store some metadata such as from which model this reposnse was generated , then time of generation of the response etc.

What is the impact of this?

by doing this we can have much smaller and smaller in size models with much improved responses generation because they continuously keep improving.

Anything else?

N/A

Originally created by @hemangjoshi37a on GitHub (Apr 2, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/3450 ### What are you trying to do? In this I want users to give their consent about open sourcing their prompt-response pairs to a centralized database from which everyone can train their model and using this we can infinitely improve our models. ### How should we solve this? adding a consent tick check box in the box that says that i am willing to donate my data to this centralized opensource database. after this whenever a user makes any llm query then the prompt-response pair will be sent to our centralized database and it will be stored. here we can also store some metadata such as from which model this reposnse was generated , then time of generation of the response etc. ### What is the impact of this? by doing this we can have much smaller and smaller in size models with much improved responses generation because they continuously keep improving. ### Anything else? N/A
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Reference: github-starred/ollama#48639
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