Author: Dawson Metzger-Fleetwood

  • Autoencoders – Part 2

    Autoencoders – Part 2

    This is part two of a two part series on autoencoders. In part one, we talked about how autoencoders work, and trained one ourselves. Now we will use this autoencoder to showcase a few common use cases for this architecture. Let’s jump right in. Identifying Outliers Let’s say your airplane dataset might have a few…

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  • How to use LLMs effectively

    How to use LLMs effectively

    Large language models have exploded in popularity. Over the past year and a half, the capabilities and use cases for large language models have become strategic imperatives for organizations of all types. With such powerful models at your disposal, it’s no surprise that integrating one into your workflow has been shown to lead to substantial…

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  • Autoencoders – Part 1

    Autoencoders – Part 1

    In modern machine learning, autoencoders, encoders, and decoders appear everywhere. They are critical components in the most high performing industry models across all modalities. In this article we will explore this architecture, building up an intuition for what it does, what makes it useful, and how to use it yourself. The Basics This is an…

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