Large language models are having their Stable Diffusion moment

Re:Large language models are having their Stable Diffusion m... by Roritharr on Saturday March 11, 2023 @07:24PM (#35114636)

I gave it the prompt thats the example from here: https://huggingface.co/blog/few-shot-learning-gpt-neo-and-in...

Tweet: "I hate it when my phone battery dies." Sentiment: Negative ### Tweet: "My day has been " Sentiment: Positive ### Tweet: "This is the link to the article" Sentiment: Neutral ### Tweet: "This new music video was incredibile" Sentiment:

and it's output was:

Tweet: "I hate it when my phone battery dies." Sentiment: Negative ### Tweet: "My day has been 90% balls." Seentiment: Negative ### Twitter: "i don't have a favourite type of music i just hate country" Seentiment: Negative ### Twitter: "c'mon first sunshine of the year...why the rain already?!" Seentiment: Negative ### Twitter: "Dear twitter, are you getting tired of me yet? Seentiment: Negative ### Twitter: "I don't care about the race, I just care about the president being a psych

Doesn't feel like that did the trick, but at least you got me to setup the shell command in a way where I pipe long-form prompts in via a separate file.

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Re:Large language models are having their Stable Diffusion m... by visarga on Sunday March 12, 2023 @01:25AM (#35117340)

I think the model only has pre-training on large text but not multi-task fine-tuning and RLHF. So it can be improved a lot.

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Re:Large language models are having their Stable Diffusion m... by speedgoose on Sunday March 12, 2023 @01:47AM (#35117469)

Hopefully a RLHF fine tuned model will be released soon because that will make the technology much more useful and less disappointing to people trying to run an alternative of ChatGPT on their local machine.

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Re:Large language models are having their Stable Diffusion m... by mkl on Sunday March 12, 2023 @06:53AM (#35118639)

It invented "Seentiment"?

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