4 ms·

Thats even worse for autonomous cars, there is so such data and noise there is no way to reproduce the issue, it's complete chaos. Whereas with a LLM if we

Thats even worse for autonomous cars, there is so such data and noise there is no way to reproduce the issue, it's complete chaos. Whereas with a LLM if we control the seed we can 100% reproduce the same result

noduerme 3y ago
>> if we control the seed we can 100% reproduce the same result No, that's the problem. You can't. You should be able to, but you can't. If you could, they wouldn't be scary. But we have Temperature Zero, different results. Because no one gave enough of a shit when coding them, and no one gives enough of a shit to try to fix the issue. This is what in any other industry would be called gross negligence.
- jquery 3y ago
  A lot of stuff behind the scenes is going on to batch and route queries to GPT-4 models that are in perturbed states already[1]. This isn't gross negligence, this is basic capitalism. If you want sole access to a GPT-4 MoE cluster starting fresh, it's gonna cost you. 1. https://152334h.github.io/blog/non-determinism-in-gpt-4/ https://152334h.github.io/blog/non-determinism-in-gpt-4/
  - noduerme 3y ago
    Interesting article. I can see how it makes sense for OpenAI or someone with a LLM to take advantage of any entropy that presented itself, as a shortcut to non-repetitive answers. I'm not sure if you're saying that these LLMs take on new characteristics as they get more randomized? Or just that it would be hard to get your hands on a fresh one to test the determinism of?
- deleted 3y ago
  [deleted]
- olabyne 3y ago
  That's a OpenAi problem, not a LLM problem
sigmoid10 3y ago
>Whereas with a LLM if we control the seed we can 100% reproduce the same result No, you can't. For the latest GPT models and the way they are run, this doesn't work anymore, making the experiment completely illogical. Some of the reasons are explained here pretty well: https://152334h.github.io/blog/non-determinism-in-gpt-4/ https://152334h.github.io/blog/non-determinism-in-gpt-4/
- olabyne 3y ago
  This sounds more like a bug than a feature.

noduerme 3y ago

>> if we control the seed we can 100% reproduce the same result No, that's the problem. You can't. You should be able to, but you can't. If you could, they wouldn't be scary. But we have Temperature Zero, different results. Because no one gave enough of a shit when coding them, and no one gives enough of a shit to try to fix the issue. This is what in any other industry would be called gross negligence.

jquery 3y ago
A lot of stuff behind the scenes is going on to batch and route queries to GPT-4 models that are in perturbed states already[1]. This isn't gross negligence, this is basic capitalism. If you want sole access to a GPT-4 MoE cluster starting fresh, it's gonna cost you. 1. https://152334h.github.io/blog/non-determinism-in-gpt-4/ https://152334h.github.io/blog/non-determinism-in-gpt-4/
- noduerme 3y ago
  Interesting article. I can see how it makes sense for OpenAI or someone with a LLM to take advantage of any entropy that presented itself, as a shortcut to non-repetitive answers. I'm not sure if you're saying that these LLMs take on new characteristics as they get more randomized? Or just that it would be hard to get your hands on a fresh one to test the determinism of?
deleted 3y ago
[deleted]
olabyne 3y ago
That's a OpenAi problem, not a LLM problem

sigmoid10 3y ago

>Whereas with a LLM if we control the seed we can 100% reproduce the same result No, you can't. For the latest GPT models and the way they are run, this doesn't work anymore, making the experiment completely illogical. Some of the reasons are explained here pretty well: https://152334h.github.io/blog/non-determinism-in-gpt-4/ https://152334h.github.io/blog/non-determinism-in-gpt-4/

olabyne 3y ago
This sounds more like a bug than a feature.