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> and since LLMs aren't even that good to begin with, it's obvious you want the SOTA to do anything useful unless maybe you're finetuning

This is overkill. First of all, ChatGPT isn't even the SOTA, so if you "want SOTA to do anything useful", then this ChatGPT offering would be as useless as LLaMA according to you. Second, there are many individual tasks where even those subpar LLaMA models are useful - even without finetuning.




it's the SOTA for chat(prove me wrong), and you can always use the API directly

even for simple tasks they're less reliable and needs more prompt engineering


> it's the SOTA for chat(prove me wrong)

GPT-4 beats ChatGPT on all benchmarks. You can easily google these.


The distinction between GPT-4 and ChatGPT is blurry, as ChatGPT is a chat frontend for a GPT model, and you can use GPT-4 with ChatGPT. The parent probably means ChatGPT with GPT-4.


Typically when people say "ChatGPT" without specifying which specific model they refer to, they refer to gpt-3.5-turbo (in case of API - or in case of the web ui, they mean whatever model is its current web ui equivalent). But now OP says they meant GPT-4, so, sure.


Counterpoint: I don’t refer to 3.5 when I say ChatGPT. I pay for ChatGPT, and always use GPT-4. Which I believe every paying customer do.


I tried and got nothing useful. What's the difference between GPT-4 and ChatGPT Plus using GPT-4?


that is why i said FOR CHAT.

even through the API you can't easily use the regular models for chat, the parsing would be atrocious and there are hundreds of edge cases to handle.

ChatGPT4 through the API is the SOTA




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