gpt-3
bevy_retro
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| gpt-3 | bevy_retro | |
|---|---|---|
| 39 | 5 | |
| 9,406 | 294 | |
| - | 1.4% | |
| 3.5 | 4.0 | |
| over 3 years ago | 6 months ago | |
| Rust | ||
| - | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
bevy_retro
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Many reasons to always read the LICENSE
https://github.com/katharostech/bevy_retrograde/blob/master/LICENSE.md section 6.2
- Katharostech/Bevy_retrograde Licensing Issue
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Dall-E 2
There are programming projects[1] out there that use licenses to prevent people from using projects in ways the authors don't agree with. You could also argue that GPL does the same thing (prevents people from using/distributing the software in the way they would like).
Whether you consider it moral doesn't seem relevant, only to respect the wishes of the author of such programs.
[1] https://github.com/katharostech/bevy_retrograde/blob/master/...
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yo guys, if you are an indie developer and you buy some 3d models what do you have to do with the licenses? do I have to include them in the game or something?
A "copyleft" licence such as GPL requires any software that uses it to also be licensed under GPL or equivalent. Then there's more esoteric licences such as Katharos.
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5 stages of cargo
speaking of, check the lisence on this bad boy: https://github.com/katharostech/bevy_retro
What are some alternatives?
dalle-mini - DALL·E Mini - Generate images from a text prompt
rend3 - Easy to use, customizable, efficient 3D renderer library built on wgpu.
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
bevy_tilemap - Tilemap with chunks for the Bevy game engine.
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
bevy - A refreshingly simple data-driven game engine built in Rust
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
dalle-2-preview
v-diffusion-pytorch - v objective diffusion inference code for PyTorch.
community-events - Place where folks can contribute to 🤗 community events