Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
This document is an attempt to pin down all the things you don't think about when quoting for a project, and hopefully provide a starting point for some kind of framework to make quoting, working and delivering small-medium jobs more predictable and less stressful.
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Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
As AI technology continues to rapidly advance, it is crucial that we prioritize its development and use in a way that benefits humanity. The AI Manifesto for Humanity outlines 10 key rules to guide the development and deployment of AI in a way that prioritizes transparency, safety, fairness, privacy, collaboration, human control, ongoing research and development, ethical standards, education and awareness, and
This code is a sample for a question on Stackoverflow about making multisite user models with Django 1.7.
Add these lines to your settings file:
AUTH_USER_MODEL='s1.Member'
SITE_ID = 1
AUTHENTICATION_BACKENDS = ( 'MyApp.MyModule.MyModelBackend',)
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