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Can we Auto-suggest `tags` for `items`?

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#129 1 commento 0 reazioni 1 assegnatario Vedi su GitHub

@SimonLab ci sta già lavorando.

Dal 24/5/2023.

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Descrizione

discuss enhancement epic help wanted priority-2 research T1h technical

There are many potential (good) usecases for ML
that can improve the lives/workflows of the people using our App.
However we want to avoid going down too much of an "AI" rabbit hole
before we have a clearly defined feature.
Butttt ....
I think it's fair to say that we all want to try something LLM-related ... 💭

So the idea with this issue is just to open the discussion. (please share your thoughts 🙏)

What are potential use-cases where we can feed data e.g. text, links or images
into a model and get useful data out that will add value to the people using our App?

I've put a priority-2 on this because no person using the MVP/App has requested auto-suggestion/tagging. (yet!)
We think it could be a compelling use-case to auto-categorise an item based on the content.
and suggest tags and even summarise longer bits of public text e.g. someone saves a link to a blog post.
It might be useful to summarise that content and pull keywords out as tags.

We definitely want to avoid "Tech/solutions searching for a problem" https://en.wiktionary.org/wiki/solution_in_search_of_a_problem 🙄

Requirements

  1. Maintain data privacy for the people using the MVP/App
    i.e. no sending data to OpenAI (MSFT ... 🙄)
  2. Run on comparatively cheap hardware e.g. not more than €20/month
    or if we need to self-host it our own hardware we can easily do this
    e.g: using our M1 Mac Mini: https://gist.github.com/cedrickchee/e8d4cb0c4b1df6cc47ce8b18457ebde0
  3. Document everything comprehensively so that a complete beginner can follow along.

privateGPT looks like a good starting point: https://github.com/imartinez/privateGPT
If you have found an easier/simpler way of running an LLM on our own hardware/infra (e.g. Fly.io) please share 🙏

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