AI

Implementing Soft Nearest Neighbor Loss in PyTorch | by Abien Fred Agarap | Nov, 2023

The class neighborhood of a dataset can be learned using soft nearest neighbor loss In this article, we discuss how

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Version Controlling in Practice: Data, ML Model, and Code | by Chayma Zatout | Dec, 2023

A Step-by-Step Guide to Versioning in MLOps Photo by Christopher Gower on Unsplash Version control is a crucial practice! Without

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Achieving Greater Self-Consistency in Large Language Models | by Anthony Alcaraz | Dec, 2023

When LLMs are used to evaluate qualities like the correctness, accuracy, or relevance of a piece of text, consistency is

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Almost Everything You Want to Know About Partition Size of Dask Dataframes | by Mikhail Sarafanov | Dec, 2023

And how to utilize it effectively in XGBoost model Preview image (by author) Recently, my colleagues and I have been

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What does the future hold for generative AI? | MIT News

Speaking at the “Generative AI: Shaping the Future” symposium on Nov. 28, the kickoff event of MIT’s Generative AI Week,

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An enhanced version of the analysis of how product features impact retention | by Paul Levchuk

A simple and powerful approach to segmenting your product features into Core, Power, and Casual. In the previous post, I

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Unlock Your Full Potential as a Business Analyst With the Powerful 5-Step Causal Impact Framework | by Juan Jose Munoz | Nov, 2023

Causal inference can help you become a business analyst rockstar In a business context, the leadership is often interested in

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MusicGen Reimagined: Meta’s Under-the-Radar Advances in AI Music | by Max Hilsdorf | Nov, 2023

Up until now, most generative music models have been producing mono sound. This means MusicGen does not place any sounds

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