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| | criticalai.org
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| | Angel McNall photography Adapting College Writing for the Age of Large Language Models such as ChatGPT: Some Next Steps for Educators (Updated 4/17/2023 to include new links) READERS INTERESTED IN THIS BLOG ARE ADVISED TO GO TO MORE UP-TO-DATE-RESOURCES INCLUDING OUR NEWSTUDENT GUIDEAND OUR UPDATED LIVING DOCUMENT, TEACHING CRITICAL AI LITERACIES. By Anna Mills and...
| | blogs.whitman.edu
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| | This fall, I was honored to serve as Whitmans convocation speaker. When I agreed to speak, I had no idea what I would talk about, but by time I sat down to write it was obvious what question
| | blog.fastforwardlabs.com
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| | 2016 is shaping up to be a big year for machine intelligence. Achievements like DeepMind's AlphaGo are making headlines in the popular press, large tech companies have started a "platform war" to become the go-to company for A.I., and entrepreneurs are increasingly building machine learning products that have the potential to transform how companies operate. Exciting though the hype may be, the commercial potential of machine intelligence won't be realized unless entrepreneurs and data scientists can clearly communicate the business value of new tools to non-technical executives. And the first step to communicating clearly is to define a vocabulary to think through what machine intelligence is, how the different algorithms work, and, most importantly, what p...
| | austingil.com
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| Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.