bevy_retro
gpt-2
bevy_retro | gpt-2 | |
---|---|---|
5 | 64 | |
294 | 21,214 | |
0.3% | 1.1% | |
4.0 | 2.5 | |
7 months ago | 29 days ago | |
Rust | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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
gpt-2
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions.
- Sam Altman is still trying to return as OpenAI CEO
- Build Personal ChatGPT Using Your Data
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Are the recent advancements in AI technology primarily driven by recent discoveries or the progress in hardware capabilities and the abundance of available data?
"Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. "
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BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
They did release GPT-2 under the MIT License.
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Don Knuth Plays with ChatGPT
Did you arrive at this certainty through reading something other than what OpenAI has published? The document [0] that describes the training data for GPT-2 makes this assertion hilarious to me.
[0]: https://github.com/openai/gpt-2/blob/master/model_card.md#da...
- Was frustriert euch an der Nutzung oder der Diskussion um KI?
- The AI
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Help with pet project to learn - Running ChatGPT-2 at home
I made a clone of https://github.com/openai/gpt-2 on my local laptop
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
What are some alternatives?
rend3 - Easy to use, customizable, efficient 3D renderer library built on wgpu.
dalle-mini - DALL·E Mini - Generate images from a text prompt
bevy_tilemap - Tilemap with chunks for the Bevy game engine.
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
bevy - A refreshingly simple data-driven game engine built in Rust
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
dalle-2-preview
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
gpt-3 - GPT-3: Language Models are Few-Shot Learners
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
community-events - Place where folks can contribute to 🤗 community events
jukebox - Code for the paper "Jukebox: A Generative Model for Music"