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  1. Embed this notice
    Jorge Arango (jarango@mastodon.social)'s status on Tuesday, 09-Jan-2024 09:57:23 JST Jorge Arango Jorge Arango

    INFORMA(C)TION No. 160: How I used AI to co-curate my 2023 year-in-review podcast, plus other things worth your attention.

    #InformationArchitecture #AI #LLM #UX

    https://mailchi.mp/jarango/informaction-160

    In conversation Tuesday, 09-Jan-2024 09:57:23 JST from mastodon.social permalink

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    1. https://files.mastodon.social/media_attachments/files/111/717/112/997/174/387/original/4da15660db114be3.jpeg
    • Embed this notice
      Eaton (eaton@phire.place)'s status on Tuesday, 09-Jan-2024 09:57:23 JST Eaton Eaton
      in reply to

      @jarango This is a super-cool use of the underlying vector embedding engine for semantic connection, a lot more exciting than the “generative text” applications. Primitive versions of this were present in a lot of large scale search platforms, but the relative ease of using an open source language model makes it accessible for loads of experimentation!

      In conversation Tuesday, 09-Jan-2024 09:57:23 JST permalink
    • Embed this notice
      Jorge Arango (jarango@mastodon.social)'s status on Tuesday, 09-Jan-2024 12:20:51 JST Jorge Arango Jorge Arango
      in reply to
      • Eaton

      @eaton I know! There is so much potential in these tools. And they're so accessible!

      In conversation Tuesday, 09-Jan-2024 12:20:51 JST permalink
    • Embed this notice
      Eaton (eaton@phire.place)'s status on Tuesday, 09-Jan-2024 12:20:51 JST Eaton Eaton
      in reply to

      @jarango something we’ve been messing with in the context of our large scale spider: mapping the semantic coherence of inbound link text pointing to key destinations and hubs on large web properties. Also, building our own feature extraction functions to model things like “a particular piece of information’s prominence on a given page”

      In conversation Tuesday, 09-Jan-2024 12:20:51 JST permalink

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