Getting started with Attention for Classification

Tutorials

A quick guide on how to start using Attention in your NLP models

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A quick intro to Bayesian neural networks

Machine Learning

Making neural networks shrug their shoulders

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Messing with GPT-Neo

Machine Learning

How a reproduction of GPT-3 compares to the original, and how to use it.

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Gaussian KDE from Scratch

Machine Learning

Understanding KDE inside and out

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Until Next Time

Writing

A brief (on a cosmic scale) hiatus, to focus on writing a new book.

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Nitpicking Machine Learning Technical Debt

Paper Critiques

Revisiting a resurging NeurIPS 2015 paper (and 25 best practices more relevant than that for 2020)

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Messing with GPT-3

Machine Learning

Why OpenAI's GPT-3 doesn't do what you think it does, and what this all means

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