• Dr. Bob@lemmy.ca
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    14 days ago

    My workplace is currently rooting out every AI feature they can find and removing it. I work in a critical infrastructure industry and they can’t risk confidential information winding up in an LLM training environment.

  • HubertManne@piefed.social
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    8 days ago

    my usage of it at this point is a bit of laziness and a bit sussing out capabilities. I have seen imporvements but I have also seen improvements become, kinda, detrimental. So can’t say it fits into a workflow anywhere. I still agree it can be a kind of assitant but you gotta take it with a grain of salt and check its work. Conversely its decent and fixing up the formatting of something you put together but is not pretty. I find video games a great way to see how they are. If you use it while running a complicated game you will see its fine most of the time but will be off every so often. Maybe 10% of the time. It can get way off and even get totally lost. One thing is they have given it a kind of memory but it has, well I was going to say no abilitity but it has some. Its ability to figure out what is relevant is not great. Telling it to clear out and start again is useful and should be more energy efficient as well. Its at worst a toy to me right now and at best a nicety.

  • neutronbumblebee@mander.xyz
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    13 days ago

    Its great for yearly performance review questions. I just feed in keywords and it generates a relentless tide of goals, metrics and progress reports which no one actually reads. Lovely. For anything technical nope. I save much more time just working problems myself. At least I learn from my mistakes.

  • Lvxferre [he/him]@mander.xyz
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    14 days ago

    I’ve been barely doing it any more due to environmental concerns, but I’ve used LLMs for translations in two ways:

    1. If I understand well a sentence in the source language, but I’m having a really hard time phrasing it in the target language in a natural way, sometimes I ask a gen model to translate it. Just for ideas; I never copy the output, and often I simply use one or two words from it, so incorrect output is not an issue.
    2. Glorified conjugation/declension dictionary. Specially useful if you input non-lemma forms. I only use it in situations where I don’t quite remember the conjugation/declension of the word in question, never if I don’t know it, so incorrect output sticks out as a sore thumb.
  • zigmus64@lemmy.world
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    14 days ago

    I’m not a coder… but I’m somewhat code literate. I can follow logical structures and understand flow control and conditional loops… I am, however not proficient in coding. Any skills I may develop over a period of intense work are lost as soon as I move on from the project I learned them for. It was time consuming, laborious, and left me completely spent at the end of my work day.

    LLMs provide me with a way to generate code to automate small analysis projects. Hand jamming the data would take (almost) literally forever, and automating it always seems like more work than it’s worth. LLMs give me a way to make functional code quickly and efficiently… my work doesn’t require enough coding work to develop proficiency but has always been a tool.

    In my personal life, it’s enabled me to tinker with my home computing setup in ways I never would have been able to. I’ve fucked with AI image generation in ComfyUI, and have dicked around with hosting LLMs locally… I even set up a way for me to interface with a locally hosted LLM remotely from my cell phone… I did all of this using Claude AI walking me through setup and everything.

    My next project is to setup a local LLM for personal financial management. The LLM will work to automate categorization of transactions and will feed it into a Python Panel setup to track spending and aid long term planning.

    https://padulaguruge.medium.com/analyzing-personal-finances-locally-with-ai-using-llms-and-python-panel-for-secure-expense-eb0f3831517c