Wasn’t aware of that, I was just taking a guess.
That being said I wouldn’t consider either open given those restrictions.
Wasn’t aware of that, I was just taking a guess.
That being said I wouldn’t consider either open given those restrictions.
Since there is a user acceptance policy that restricts what you can do with the model that might be considered “partially” open.
Yeah you can see the weights, but it seems you are limited on what you can do with the weights. How we’ve gotten to the point you can protect these random numbers that I’ve shared with you through a UA is beyond me.
Haha, that’s fair I didn’t really vet the article as I’ve read about the concept and know it’s true (although as you point out only on a technical level).
Oddly enough I do actually think a charged battery is heavier, just as a full hard drive is heavier. But not to a degree that would matter.
Is there any good videos/articles detailing real world use cases for this stuff. I watched a couple of things on Recall, but there wasn’t much in terms of what I would actually use it for. While I do have issues from time to time finding things, it doesn’t feel like that big of a mover for the cost (privacy or compute).
Thanks for the insight, I was using it to create something new from a prompt, so my bad experience seems to align with yours.
I tried using their generative tools a while back and they were pretty terrible. Curious what your experience has been.
Hallucinations aren’t fixable, as LLMs don’t have any actual “intelligence”. They can’t test/evaluate things to determine if what they say is true, so there is no way to correct it. At the end of the day, they are intermixing all the data they “know” to give the best answer, without being able to test their answers LLMs can’t vet what they say.
Theyre making a reference to stackoverflow.com, a website for IT/programming related questions. On that site moderators will typically lock (prevent updates on) new posts as they appear to be duplicates of existing questions/posts.
Just a slight correction. ML/AI has aided in all sorts of discoveries, GenAI is a “remixing of existing concepts”. I don’t believe I’ve read, nor does the underlying principles really enable, anything regarding GenAI and discovering new ways to do things.
Not basically, most (current) recommendation systems are AI/ML based. Any big platform is using AI/ML recommendation algorithms.