Earlier quoted context omitted.
OpenAI is obviously using libgen. Libgen is necessary but not sufficient for a top AI model. I believe that Google's corporate reluctance to use it is what's holding them back.
How do you know? Has someone created a set of test questions that can definitively prove it one way or another?
Major outages across ChatGPT and API
601–610 of 617 posts
Re: Major outages across ChatGPT and API
#602Well I guess this is the best time to say that HuggingFace hosts many open source chat models, one of my favorites is a finetuned version of Mistral 7B: https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat
Re: Major outages across ChatGPT and API
#603Well I guess this is the best time to say that HuggingFace hosts many open source chat models, one of my favorites is a finetuned version of Mistral 7B: https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat
How do they make money if its free?
Re: Major outages across ChatGPT and API
#604Re: Major outages across ChatGPT and API
#605Never used ChatGPT. I couldn’t care less.
This seems like one of those "oh I don't own a TV" moments.
My impression is that people without a TV or relying on a feature phone seem rather happy. Does something provide a necessary purpose? Is there an alternative? Is it working autonomously? Bidirectional?
I also assumed you need this in that in the past. Things anre obligatory and so on. And I’ve changed my opinion.
Re: Major outages across ChatGPT and API
#606Earlier quoted context omitted.
DALL-E 3 isn't available via API or labs. If you don't use ChatGPT you get the (significantly lower quality) DALL-E 2 at the moment. That's supposed to change by the end of fall. One of the most frustrating things with "Open"AI is you can't just use what they announce as available, you have to wait for an A/B rollout (as a paying customer!) or for it to be accessible in direct way instead of going through multiple mo…
> DALL-E 3 isn't available via API or labs. Yes, it is available in the API (just tested to make sure the docs weren't misleading.)
Re: Major outages across ChatGPT and API
#607Earlier quoted context omitted.
This seems like one of those "oh I don't own a TV" moments.
Is that bad? My impression is that people without a TV or relying on a feature phone seem rather happy. Does something provide a necessary purpose? Is there an alternative? Is it working autonomously? Bidirectional? I also assumed you need this in that in the past. Things anre obligatory and so on. And I’ve changed my opinion.
Re: Major outages across ChatGPT and API
#608Earlier quoted context omitted.
I have a slightly different take. Not all use cases are narrow use cases. OpenAI crushes the broad and/or poorly defined use cases. On those if you tried to train your own inhouse model it would be very expensive and you would produce a significantly inferior model.
I'm not sure how my "quite a lot of use cases" and your "not all use cases are narrow use cases" are meaningfully different (slightly) to you. This isn't a snipe, mind, it's me being unsure if we even disagree, especially given the latter part of your comment seems entirely correct (so far as my limited understanding goes ;).
Re: Major outages across ChatGPT and API
#609Earlier quoted context omitted.
> it's that the dataset really is the 'secret sauce' alwayshasbeen.jpg There have been articles about how "data is the new oil" for a couple of decades now, with the first reference I could find being from British mathematician Clive Humby in 2006 [0]. The fact that it rings even more true in the age of LLMs is simply just another transformation of the fundamental data underneath. [0] https://en.wikipedia.org/wiki/Cl…
2006? https://en.wikipedia.org/wiki/Scientia_potentia_est
I am specifically referring to the phrase I quoted, not some more abstract sentiment.
Re: Major outages across ChatGPT and API
#610Earlier quoted context omitted.
I made a NeoVim plugin that helps debug diagnostic messages, providing explanations and solutions for how to fix them, custom tailored to your code. It's a bit different from other plugins which only act on the text in the buffer in that it also sends the diagnostics from the LSP to ChatGPT too. https://github.com/piersolenski/wtf.nvim
That's a really neat plugin! Couple of questions for you: 1. How many times a [day/month] do you use it? 2. In your experience how often does GPT 'hallucinate' an explanation?