Artificial Intelligence: Difference between revisions

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One interesting essay I read was "''[https://adam.harvey.studio/creative-commons Creative Commons and the Face Recognition Problem]''" by Adam Harvey. He describes how 100 million images from Flickr were used to train facial recognition systems using peoples wedding and vacation photos.

== Understanding AI ==

An excellent introduction to Artificial Intelligence and Large Language Models (LLMs) is an article [https://www.understandingai.org/p/large-language-models-explained-with Large language models, explained with a minimum of math and jargon] by Timothy Lee and Sean Trott - July 27, 2023<~~blockquote~~>''Tim Lee is a journalist with a master’s degree in computer science. The article is the result of two months of in-depth research. Co-author Sean Trott is a cognitive scientist at the University of California, San Diego.''</~~blockquote~~>

An excellent introduction to Artificial Intelligence and Large Language Models (LLMs) is an article [https://www.understandingai.org/p/large-language-models-explained-with Large language models, explained with a minimum of math and jargon] by Timothy Lee and Sean Trott - July 27, 2023<ref>''Tim Lee is a journalist with a master’s degree in computer science. The article is the result of two months of in-depth research. Co-author Sean Trott is a cognitive scientist at the University of California, San Diego.''</ref>

[[wp:Graphics_processing_unit|GPU]]<nowiki/>s - specialized electronic circuits initially developed for computer graphics - are an important aspect of AI (and other forms of computing such as neural networks, cryptocurrency).

==Llama confusion==

[[File:18-08-25-Åland RRK6596a.jpg|thumb|right|llama from disc golf island]]

[[wp:llama.cpp|llama.cpp]], is a library written in C++ that performs inference on various LLMs (including [[wp:Llama_(language_model)|Llama]]) by implementing tensor algebra so systems without GPUs can do "AI". [[Ollama]] is a LLM you can run on your own hardware, off-net.

== Vectors are not just for graphics ==

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 One interesting essay I read was "''[https://adam.harvey.studio/creative-commons Creative Commons and the Face Recognition Problem]''" by Adam Harvey. He describes how 100 million images from Flickr were used to train facial recognition systems using peoples wedding and vacation photos.
 == Understanding AI ==
-An excellent introduction to Artificial Intelligence and Large Language Models (LLMs) is  an article [https://www.understandingai.org/p/large-language-models-explained-with Large language models, explained with a minimum of math and jargon]  by Timothy Lee and Sean Trott - July 27, 2023<blockquote>''Tim Lee is a journalist with a master’s degree in computer science. The article is the result of two months of in-depth research. Co-author Sean Trott is a cognitive scientist at the University of California, San Diego.''</blockquote>
+An excellent introduction to Artificial Intelligence and Large Language Models (LLMs) is  an article [https://www.understandingai.org/p/large-language-models-explained-with Large language models, explained with a minimum of math and jargon]  by Timothy Lee and Sean Trott - July 27, 2023<ref>''Tim Lee is a journalist with a master’s degree in computer science. The article is the result of two months of in-depth research. Co-author Sean Trott is a cognitive scientist at the University of California, San Diego.''</ref>
+[[wp:Graphics_processing_unit|GPU]]<nowiki/>s - specialized electronic circuits initially developed for computer graphics - are an important aspect of AI (and other forms of computing such as neural networks, cryptocurrency).
+==Llama confusion==
+[[File:18-08-25-Åland RRK6596a.jpg|thumb|right|llama from disc golf island]]
+[[wp:llama.cpp|llama.cpp]], is a library written in C++ that performs inference on various LLMs (including [[wp:Llama_(language_model)|Llama]]) by implementing tensor algebra so systems without GPUs can do "AI". [[Ollama]] is a LLM you can run on your own hardware, off-net.
 == Vectors are not just for graphics ==