Skip Navigation

Posts
21
Comments
753
Joined
2 yr. ago

Reddit sucks

  • Got it. You think if you tuned again after calibrating tool calling it would be beneficial?

  • Bummer. Do you think it was the training data or just nature of fine tuning? Something else? What were you tuning it for if you don’t mind my asking?

  • Did you notice a big improvement in the tasks you were tuning for? What is your hardware setup and how long did it take?

    Thanks!

  • Variety of opinions? The fediverse is smarter?

  • I’ve heard a lot about Lora like Unsloth. Have you used anything like it?

  • Almost like they’re farming it for another community

  • What’s the secret sauce? How it writes the skills? When it decides to do it within a conversation? Sounds like it creates skill files (markdown?) and saves them to a library, then an agent pulls in relevant skills during future prompts?

    I can see this being obsolete very soon. Couldn’t you make Codex or Code do this for you. Build your own agent/s even. Maybe it’ll be included in future releases of major commercial LLMs.

  • Wealth

    Jump
  • Thank you oh wise one

  • Wealth

    Jump
  • Using liberal dog whistles for likes. Cool. Lemmy can see through it.

  • Wealth

    Jump
  • Ah yes. I forgot we’re in the MAGA era of the world. My apologies.

  • Nah it becomes a revolver

  • Wealth

    Jump
  • Am I missing the joke, or is this potentially offensive towards people with schizophrenia?

  • Deleted

    Permanently Deleted

    Jump
  • By Your Side - Sade

  • Those blue chips are some of the most unethical corporation in the country. I don’t think this fits OP’s goal.

  • Anybody who could benefit from cheap computing hardware. Like I said, AI bubble popping doesn’t mean end of AI or LLMs specifically. Lots of people will still need computing power. Some other people mentioned, but cloud computing companies could likely be buyers. Maybe investors, same people that buy up commercial real estate. Small companies who want to build out their own data centers/servers.

  • If companies can’t afford the data centers they’ll probably be sold off. An AI crash doesn’t mean LLMs and AI goes away. While the pricing model may not be working for many, the underlying tech is for many customers big and small. Models will have to get more efficient, but in line with Jevons Paradox, use will continue to grow. Maybe a pause in growth, but I don’t see a graveyard of data centers unless some major shift in regulation.

  • That was too much research required for a single post

  • And the filter has been designed to look like AI videos

  • Realest comic I’ve seen here.