/explore
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You are here 
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github.com | ||
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www.khanna.law
You want to train a deep neural network. You have the data. It's labeled and wrangled into a useful format. What do you do now? |
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michael-lewis.com
This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. |
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metr.org
We propose a measure of an AI agent's optimization ability with an "expenditure horizon." We give an empirical illustration from the NanoGPT speedrun. |
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www.index.dev
Learn all about Large Language Models (LLMs) in our comprehensive guide. Understand their capabilities, applications, and impact on various industries. |
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