lm-human-preferences
bevy_retro
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| lm-human-preferences | bevy_retro | |
|---|---|---|
| 8 | 5 | |
| 1,099 | 294 | |
| 4.7% | 1.4% | |
| 2.7 | 4.0 | |
| 9 months ago | 6 months ago | |
| Python | Rust | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
lm-human-preferences
- Ask HN: Open-source GPT-3 alternatives
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
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Sam Altman on the best and worst case scenario for AI - "...the good case is just so unbelievably good that you sound like a really crazy person to start talking about it."
Lest you think that that sounds like a too galaxy-brained possibility, it has already happened at OpenAI (scroll down to "Bugs can optimize for bad behavior"), just with a model that was very far from being capable enough to be dangerous.
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Value head in GPT2
Found relevant code at https://github.com/openai/lm-human-preferences + all code implementations here
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Should we stick to the devil we know?
That's why, when they're serious, they use RL for finetuning from human preferences (would be hilarious if this attempt to solve the terrible bias you take to be evidence of AGI threat ends up creating a Woke Singleton itself, btw); it's a powerful general approach, and I see no sign of it being applied here.
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Dall-E 2
The kind of measures they are taking, like simply deleting wholesale anything problematic, don't really have a '-1'.
But amusingly, exactly that did happen in one of their GPT experiments! https://openai.com/blog/fine-tuning-gpt-2/
- Discussion Thread
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[D] Applications for using reinforcement learning to fine-tune GPT-2
Code for https://arxiv.org/abs/1909.08593 found: https://github.com/openai/lm-human-preferences
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?
trl - Train transformer language models with reinforcement learning.
rend3 - Easy to use, customizable, efficient 3D renderer library built on wgpu.
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
bevy_tilemap - Tilemap with chunks for the Bevy game engine.
dalle-mini - DALL·E Mini - Generate images from a text prompt
bevy - A refreshingly simple data-driven game engine built in Rust
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API
gpt-3 - GPT-3: Language Models are Few-Shot Learners
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
dalle-2-preview
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"