Difference between revisions of "Free Software Directory talk:Artificial Intelligence Team"
(→Free software replacements that are missing: ** https://elicit.org/ - Elicit uses language models to help you automate research workflows, like parts of literature review. -- Thanks for the tips to Kenan Sulayman) |
(Remove old info and simplify) |
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| − | ==Free software replacements that are missing== | + | == Free software replacements that are missing == |
* AI Research Assistant | * AI Research Assistant | ||
** https://elicit.org/ - Elicit uses language models to help you automate research workflows, like parts of literature review. | ** https://elicit.org/ - Elicit uses language models to help you automate research workflows, like parts of literature review. | ||
| − | |||
* Voice to instrument: [https://sites.research.google/tonetransfer Tone Transfer-like] | * Voice to instrument: [https://sites.research.google/tonetransfer Tone Transfer-like] | ||
* Identification | * Identification | ||
** Photo | ** Photo | ||
| − | *** | + | *** [https://play.google.com/store/apps/details?id=org.plantnet Pl@ntNet for Android] - Pl@ntNet is a citizen science project for automatic plant identification through photographs and based on machine learning. "The observations shared by the community are published with the associated images under a Creative Common CC-BY-SA license (visible author name)." - https://plantnet.org/en/2020/08/06/your-plntnet-data-integrated-into-gbif/ |
** Audio | ** Audio | ||
*** Shazam: Shazam is an application that can identify music, movies, advertising, and television shows, based on a short sample played and using the microphone on the device. | *** Shazam: Shazam is an application that can identify music, movies, advertising, and television shows, based on a short sample played and using the microphone on the device. | ||
| Line 12: | Line 11: | ||
* http://design.rxnfinder.org/addictedchem/prediction/ | * http://design.rxnfinder.org/addictedchem/prediction/ | ||
| − | ==Freedom issues== | + | == Potential Freedom issues == |
| + | |||
| + | * Dependencies need to be checked. | ||
| + | * Verify whether a workflow requires non-free GPU or if CPU can be used. | ||
| + | * The training data often contains non-free licensed material. | ||
| + | ** According to current copyright laws, this does not impact the license of the model or the output of the model. According to current copyright laws, the output is public domain. [[User:Mmcmahon|Mmcmahon]] ([[User talk:Mmcmahon|talk]]) 11:48, 2 May 2023 (EDT) | ||
| + | |||
| + | == Extra information == | ||
===Stable Diffusion=== | ===Stable Diffusion=== | ||
| − | Stable Diffusion model files (.ckpt) | + | Stable Diffusion model files (.ckpt) are released under a non-free license. |
Here's the stable diffusion beginning point: | Here's the stable diffusion beginning point: | ||
| Line 23: | Line 29: | ||
====stable-diffusion-webui==== | ====stable-diffusion-webui==== | ||
* https://github.com/AUTOMATIC1111/stable-diffusion-webui | * https://github.com/AUTOMATIC1111/stable-diffusion-webui | ||
| − | |||
** Demo, and guide - https://www.youtube.com/watch?v=R52hxnpNews | ** Demo, and guide - https://www.youtube.com/watch?v=R52hxnpNews | ||
** Extension script: https://github.com/deforum-art/deforum-for-automatic1111-webui | ** Extension script: https://github.com/deforum-art/deforum-for-automatic1111-webui | ||
===Large Language Models=== | ===Large Language Models=== | ||
| − | |||
====LLaMa==== | ====LLaMa==== | ||
* LLaMa is released under the GNU General Public License v3.0: https://github.com/facebookresearch/llama/blob/main/LICENSE | * LLaMa is released under the GNU General Public License v3.0: https://github.com/facebookresearch/llama/blob/main/LICENSE | ||
| − | * LLaMa is comparable to GPT-3, and has been fully released as a torrent. | + | * LLaMa is comparable to GPT-3, and has been fully released as a torrent and on huggingface. |
* 7B paramenter model has a VRAM requirement of 10GB. The 13B model has a requirement of 20GB, 30B needs 40GB, and 65B needs 80GB. | * 7B paramenter model has a VRAM requirement of 10GB. The 13B model has a requirement of 20GB, 30B needs 40GB, and 65B needs 80GB. | ||
==External links== | ==External links== | ||
* [https://en.wikipedia.org/wiki/Applications_of_artificial_intelligence Applications of artificial intelligence (Wikipedia)] | * [https://en.wikipedia.org/wiki/Applications_of_artificial_intelligence Applications of artificial intelligence (Wikipedia)] | ||
Revision as of 11:48, 2 May 2023
Contents
Free software replacements that are missing
- AI Research Assistant
- https://elicit.org/ - Elicit uses language models to help you automate research workflows, like parts of literature review.
- Voice to instrument: Tone Transfer-like
- Identification
- Photo
- Pl@ntNet for Android - Pl@ntNet is a citizen science project for automatic plant identification through photographs and based on machine learning. "The observations shared by the community are published with the associated images under a Creative Common CC-BY-SA license (visible author name)." - https://plantnet.org/en/2020/08/06/your-plntnet-data-integrated-into-gbif/
- Audio
- Shazam: Shazam is an application that can identify music, movies, advertising, and television shows, based on a short sample played and using the microphone on the device.
- A free app that functions like midomi.com -- "You can find songs with midomi and your own voice. Forgot the name of a song? Heard a bit of one on the radio? All you need is your computer's microphone."
- Photo
- http://design.rxnfinder.org/addictedchem/prediction/
Potential Freedom issues
- Dependencies need to be checked.
- Verify whether a workflow requires non-free GPU or if CPU can be used.
- The training data often contains non-free licensed material.
Extra information
Stable Diffusion
Stable Diffusion model files (.ckpt) are released under a non-free license.
Here's the stable diffusion beginning point: https://huggingface.co/CompVis/stable-diffusion-v1-4 https://huggingface.co/spaces/CompVis/stable-diffusion-license
stable-diffusion-webui
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
- Demo, and guide - https://www.youtube.com/watch?v=R52hxnpNews
- Extension script: https://github.com/deforum-art/deforum-for-automatic1111-webui
Large Language Models
LLaMa
- LLaMa is released under the GNU General Public License v3.0: https://github.com/facebookresearch/llama/blob/main/LICENSE
- LLaMa is comparable to GPT-3, and has been fully released as a torrent and on huggingface.
- 7B paramenter model has a VRAM requirement of 10GB. The 13B model has a requirement of 20GB, 30B needs 40GB, and 65B needs 80GB.
External links
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.