7 Ware Street Diverging Ivies | Harvard Magazine
April 22, 2021https://harvardmagazine.com/2021/03/letters-7ware-two-universities
H v Y endowments
The Post-Pandemic Office Is Already Here—in Australia – WSJ
April 22, 2021Opinion | I Have Read Thousands of Résumés, and I Have Some Advice – The New York Times
April 19, 2021100+ GPT-3 Examples, Demos, Apps, Showcase, and NLP Use-cases | GPT-3 Demo
April 17, 2021https://betterwriter.ai/
https://www.swifterhq.com/tools/ai-email-generator
https://gpt3demo.com/apps/swifterhq-ai-email-generator
Robo-writers: the rise and risks of language-generating AI
April 17, 2021https://www.nature.com/articles/d41586-021-00530-0
GPT3
QT:{{”
A neural network’s size — and therefore its power — is roughly measured by how many parameters it has. These numbers define the strengths of the connections between neurons. More neurons and more connections means more parameters; GPT-3 has 175 billion. The next-largest language model of its kind has 17 billion (see ‘Larger language models’). (In January, Google released a model with 1.6 trillion parameters, but it’s a ‘sparse’ model, meaning each parameter does less work. In terms of performance, this is equivalent to a ‘dense’ model that has between 10 billion and 100 billion parameters, says William Fedus, a researcher at the University of Montreal, Canada, and Google.)
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