gpt-3
stylegan2-pytorch
gpt-3 | stylegan2-pytorch | |
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41 | 1,989 | |
9,406 | 3,646 | |
- | - | |
3.5 | 2.7 | |
over 3 years ago | 8 days ago | |
Python | ||
- | MIT License |
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gpt-3
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GPT4.5 or GPT5 being tested on LMSYS?
>I wasn't talking about "state of the art LLMs," I am aware that commercial offerings are much better trained in Spanish. This was a thought experiment based on comments from people testing GPT-3.5 with Swahili.
A thought experiment from other people comments on another language. So...No. Fabricating failure modes from their constructed ideas about how LLMs work seems to be a frustratingly common occurrence in these kinds of discussions.
>Frustratingly, just few months ago I read a paper describing how LLMs excessively rely on English-language representations of ideas, but now I can't find it.
Most LLMs are trained on English overwhelmingly. GPT-3 had a 92.6% English dataset. https://github.com/openai/gpt-3/blob/master/dataset_statisti...
That the models are as proficient as they are is evidence enough of knowledge transfer clearly happening. https://arxiv.org/abs/2108.13349. If you trained a model on the Catalan tokens GPT-3 was trained on alone, you'd just get a GPT-2 level gibberish model at best.
anyway. These are some interesting papers
How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning - https://arxiv.org/pdf/2305.13286
Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer - https://arxiv.org/abs/2404.04042
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment - https://arxiv.org/abs/2305.05940
It's not like there is perfect transfer but the idea that there's none at all seemed so ridiculous to me (and why i asked the first question). Models would be utterly useless in multilingual settings if that were really the case.
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Large models: Everything above 10B of parameters. This is where Llama 3, Llama 2, Mistral 8x22B, GPT 3, and most likely GPT 4 sit.
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Can ChatGPT improve my L2 grammar?
Are generative AI models useful for learning a language, and if so which languages? Over 90% of ChatGPT's training data was in English. The remaining 10% of data was split unevenly between 100+ languages. This suggests that the quality of the outputs will vary from language to language.
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GPT4 Can’t Ace MIT
I have doubts it was extensively trained on German data. Who knows about GPT4, but GPT3 is ~92% of English and ~1.5% of German, which means it saw more "die, motherfucker, die" than on "die Mutter".
(https://github.com/openai/gpt-3/blob/master/dataset_statisti...)
- Necesito ayuda.
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[R] PaLM 2 Technical Report
Catalan was 0.018 % of GPT-3's training corpus. https://github.com/openai/gpt-3/blob/master/dataset_statistics/languages_by_word_count.csv.
- I'm seriously concerned that if I lost ChatGPT-4 I would be handicapped
- The responses I got from bard after asking why 100 times… he was pissed 😂
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BharatGPT: India's Own ChatGPT
>Certainly it is pleasing that they are not just doing Hindi, but some of these languages must be represented online by a very small corpus of text indeed. I wonder how effectively an LLM can be trained on such a small training set for any given language?
as long as it's not the main language it doesn't really matter. Besides English(92.6%), the biggest language by representation (word count) is taken up by french at 1.8%. Most of the languages GPT-3 knows are sitting at <0.2% representation.
https://github.com/openai/gpt-3/blob/master/dataset_statisti...
Competence in the main language will bleed into the rest.
- GPT-4 gets a B on Scott Aaronson's quantum computing final exam
stylegan2-pytorch
- Wikipedia No Longer Considers CNET "Generally Reliable" Source After AI Scandal
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Discord Clone Using Next.js and Tailwind - Part 3: Channel List
export default function ChannelListBottomBar(): JSX.Element { const { client } = useChatContext(); const [micActive, setMicActive] = useState(false); const [audioActive, setAudioActive] = useState(false); return (
{client.user?.image && (div> )}setMicActive((currentValue) => !currentValue)} > button> setAudioActive((currentValue) => !currentValue)} > button> button> div> ); }{client.user?.name} span> {client.user?.online ? 'Online' : 'Offline'} span> p> button>
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Realism Engine SDXL v2.0 just released
I wonder if we will ever get a realism model which can produce normal faces like https://thispersondoesnotexist.com instead of like super symmetrical faces of models
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Spongebob!!!
this has been in circulation since a while AI images took off, and they certainly weren't convincing before they did. You know the old "try to name one thing in this image" macro? Pretty sure that was AI generated, there was also thispersondoesnotexist.com which was always pretty good but of course it is
- 🤣🤣🤣
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Many AI images have are photorealistic, but have a strangely empty and ''soulless'' expression. Something is wrong, but it's hard to say what
Not the workflow for these images, but if you easily want to spice up your gens with a bit more natural look, try using images from thispersondoesnotexist.com with IPAdapter face model.
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‘Nudify’ Apps That Use AI to ‘Undress’ Women in Photos Are Soaring in Popularity
...then they just use the app on generated images of not real people (potentially based on specific inputs to remind you of a real person).
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Quan Chi is from Massachusetts
Also we can generate very realistic faces with AI, https://thispersondoesnotexist.com/ (old example), fully 3D faces are doable at this point. So in another 5-10 years a low profile model like him wouldn't even be hired for this, they would just generate a digital face model. Unionizing will only speed up studios adoption of digital replacements.
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Sketchy Youtube comments talking about Hostinger
It looks like they all use a profile picture made with https://thispersondoesnotexist.com/
- Lorem picsum but for avatars?
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
v-diffusion-pytorch - v objective diffusion inference code for PyTorch.
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
dalle-2-preview
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API