Things are still moving fast. It’s mid/late july now and i’ve spent some time outside, enjoying the summer. It’s been a few weeks since things exploded in the month of may this year. Have you people settled down in the meantime?

I’ve since then moved from reddit and i miss the LocalLlama over there, that was/is buzzing with activity and AI news (and discussions) every day.

What are you people up to? Have you gotten tired of your AI waifus? Or finished indexing all of your data into some vector database? Have you discovered new applications for AI? Or still toying around and evaluating all the latest fine-tuned variations in constant pursuit of the best llama?

  • zephyrvs@lemmy.ml
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    1 year ago

    I was fascinated by Jung’s works after tripping on shrooms and becoming obsessed with understanding conciousness. I already stumbled upon llama.cpp and started playing around with LLMs and just decided to build a prototype for myself, because I’ve doing shadow work for self-therapy reasons anways.

    It’s not really that useful yet, but making it into a product is unlikely because most people who wouldn’t trust ChatGPT won’t trust an open source model on my machine(s) either. Also shipping a product glued together from multiple open source components with rather strict GPU requirements seems like a terrible experience for potential customers and I don’t think I’d be able to handle the effort of supporting others to properly set it up. Dunno, we’ll see. :D

    • rufus@discuss.tchncs.deOP
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      1 year ago

      Hehe. People keep highjacking the term ‘open source’. If you mean free software… I have faith and trust in that concept. Once your software gets to a point where it is useful and you start attracting other contributors, people will start to realize your software is legit. At least I would do that.

      I use KoboldCPP and llama.cpp, because i don’t own a gpu. I believe you could implement a fallback to something like this, and you could eliminate your strict gpu requirements. (people would need at least 16 - 32gb of RAM though. and a bit of patience because this is slower.)