Artificial Intelligence: Difference between revisions

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ChatGPT is all the rage; stock market valuations of major companies like Alphabet (Google) fluctuate billions of dollars overnight due to perceived strength or weakness of the product's AI-powered features.
<s>[https://chatgpt.com/ ChatGPT], [https://claude.ai Claude],</s> [https://www.deepseek.com/ DeepSeek] is all the rage; stock market valuations of major companies like [https://www.marketwatch.com/investing/stock/goog Alphabet] (Google) or [https://www.marketwatch.com/investing/stock/nvda NVidia] fluctuate billions of dollars overnight due to perceived strength or weakness in the new technological arms race.


This page will capture some of the interesting points about AI and its use or relevance in Knowledge Management, MediaWiki, and probably some other tangents like deep fakes or politics.
This page will capture some of the interesting points about AI and its use or relevance in Knowledge Management, MediaWiki, and probably some other tangents like deep fakes or politics.
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[[Svg|SVG]] is cool for graphics. But vectors aren't just for graphics.  
[[Svg|SVG]] is cool for graphics. But vectors aren't just for graphics.  


The [https://vectors.nlpl.eu/ Nordic Language Processing Laboratory], [https://www.mn.uio.no/ifi/english/research/groups/ltg/ Language Technology Group] at the University of Oslo, Norway publishes their research tools which help visualize how word vectors work in LLMs For instance, here's the [https://vectors.nlpl.eu/explore/embeddings/en/MOD_enwiki_upos_skipgram_300_2_2021/cat_NOUN/ vector for cat]. (Click the link that says "Show the raw vector").
The [https://vectors.nlpl.eu/ Nordic Language Processing Laboratory], [https://www.mn.uio.no/ifi/english/research/groups/ltg/ Language Technology Group] at the University of Oslo, Norway publishes their research tools which help visualize how word vectors work in LLMs For instance, here's the [https://vectors.nlpl.eu/explore/embeddings/en/MOD_enwiki_upos_skipgram_300_2_2021/cat_NOUN/ vector for cat] showing word relationships using '''English Wikipedia''' as the training corpus. (Click the link that says "Show the raw vector" to see the full numerical word vector).


== Biases in the Hive Mind ==
== Biases in the Hive Mind ==

Revision as of 13:35, 31 January 2025

ChatGPT, Claude, DeepSeek is all the rage; stock market valuations of major companies like Alphabet (Google) or NVidia fluctuate billions of dollars overnight due to perceived strength or weakness in the new technological arms race.

This page will capture some of the interesting points about AI and its use or relevance in Knowledge Management, MediaWiki, and probably some other tangents like deep fakes or politics.

One interesting essay I read was "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[edit]

An excellent introduction to Artificial Intelligence and Large Language Models (LLMs) is an article Large language models, explained with a minimum of math and jargon by Timothy Lee and Sean Trott - July 27, 2023

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.

Vectors are not just for graphics[edit]

SVG is cool for graphics. But vectors aren't just for graphics.

The Nordic Language Processing Laboratory, Language Technology Group at the University of Oslo, Norway publishes their research tools which help visualize how word vectors work in LLMs For instance, here's the vector for cat showing word relationships using English Wikipedia as the training corpus. (Click the link that says "Show the raw vector" to see the full numerical word vector).

Biases in the Hive Mind[edit]

In Semantics derived automatically from language corpora contain human-like biases the writers show that AI "learns" the same biases we live. The biases are embedded in our language. TLDR; if a million documents with the word 'nurse' contain predominantly female people and the word 'doctor' in that same corpora contain mostly male figures, then AI learns that nurse is female and presumes a doctor to be male.

Google AI Studio[edit]

Google AI Studio is a tool that lets you use Google's Gemini API 'easily'. In other words, if you want to develop something using AI, this is a starting point and you don't need to even know how to program. But the current site is laughably ridiculous - offering sample prompts like

  • "Test if AI knows which number is bigger." (something a 5 year old knows)
  • "Get recipe ideas based on an image of ingredients." (like, Don't know what to cook for dinner? Take a picture of your pantry! If you don't know how to do meal planning, I don't think artificial intelligence will help much.)

So, if you truly want to build something with AI, you might need a programmer ;-)

At Google, they have two series of LLMs: Gemini (cookbook) and Gemma