gpt-3
DALL-E
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| gpt-3 | DALL-E | |
|---|---|---|
| 39 | 31 | |
| 9,406 | 10,709 | |
| - | 0.4% | |
| 3.5 | 0.0 | |
| over 3 years ago | 3 months ago | |
| Python | ||
| - | GNU General Public License v3.0 or later |
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gpt-3
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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
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[D] Dumb question: is GPT3 model open-sourced?
And from skimming their GH page, it seems it'd be costly to host as well
- ChatGPT and the Daily Question Thread, re-evaluated with GPT-4.
DALL-E
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Issue installing DALL-E
Not sure if this is the right place to post this but I'm having an issue installing DALL-E from github. I'm using this video as a tutorial and downloaded the DALL-E file from here. I got the the part of setting up a docker thing to run it but I'm getting the error shown in this picture:
- is dall e programmed? If yes how?
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small chungus
well part of it is: https://github.com/openai/DALL-E
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How to run DALL-E locally?
Following the read me, I ran
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Error message "File cannot be written" on Linux Endeavour
I am trying to run a program from GitHUb (Dall-E; https://github.com/openai/dall-e). My first step was to run pip install DALL-E in the Terminal, which worked fine.
- lofi nuclear war to relax and study to
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[N] [D] Openai, who runs DALLE-2 alleged threatened creator of DALLE-Mini
Code for https://arxiv.org/abs/2102.12092 found: https://github.com/openai/DALL-E
- A music-video generated by AI #Dalle2
- Dall-E - Pytorch package for the discrete vae used for dall·e.
- Created this with AI painting software
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
dalle-2-preview
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
v-diffusion-pytorch - v objective diffusion inference code for PyTorch.
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
pixray
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API