Open source software (OSS) is source code developed and maintained through open collaboration. Anyone can use, examine, alter and redistribute OSS as they see fit, typically at no cost.
An example of a high profile Open Source Neural Network project is Llama 2.
Llama 2 is the next generation of Meta's open source large language model. It is free for research and commercial use, making it a great project to contribute to. It has a large community support from both Meta and Microsoft and is ideal for those interested in large language models and natural language processing
So to repeat, Llama 2 (by Microsoft / Meta partnership) has freely available source code AND is free for research and commercial use.
There are versions of the Neural Network you can get that are already trained, or you can, as you pointed out, use Open Source training data OR you can compile your own training data set to supplement (or even replace) an open source set.
For what it is worth, I think that most of the ways that Large Language Models will be used will be a net negative. I am frankly shocked at the low standard of teaching and the low skills and "care factor" of teachers. It seems counterproductive to give teachers and their managers, who don't seem to have standards or accountability, access to LLMs to plan their lessons for them and then mark the work of their students.
But this is changing the subject. You said that people would not be able to produce the art they wanted, due to commercial control of the technology and the derivative services.
No, I said he had three servers for Neural Networks. Want to take a guess on how many servers he has for other uses? I mean, it is his literal job.
Do you really, truly, honestly not know what Open Source means? Fuck! you don't! Okay. I can help.
From IBM.com
An example of a high profile Open Source Neural Network project is Llama 2.
So to repeat, Llama 2 (by Microsoft / Meta partnership) has freely available source code AND is free for research and commercial use.
There are versions of the Neural Network you can get that are already trained, or you can, as you pointed out, use Open Source training data OR you can compile your own training data set to supplement (or even replace) an open source set.
For what it is worth, I think that most of the ways that Large Language Models will be used will be a net negative. I am frankly shocked at the low standard of teaching and the low skills and "care factor" of teachers. It seems counterproductive to give teachers and their managers, who don't seem to have standards or accountability, access to LLMs to plan their lessons for them and then mark the work of their students.
But this is changing the subject. You said that people would not be able to produce the art they wanted, due to commercial control of the technology and the derivative services.
So the question is: Did you know that was a lie?