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Michael Silber's Projects

k-means-movie-clustering icon k-means-movie-clustering

K-Means solution to the movie clustering problem as part of a big data project at Ben Gurion University

llm-book-to-knowledge icon llm-book-to-knowledge

The project is a jupyter notebook of the method I used to distill an entire physiology book into it's key points of knowledge. The book I chose is "The Muscle and Strength Training Pyramid v2.0" by Eric Helms. This work is part of an ongoing exploration I'm doing into the ability of LLMs (Large Language Models) to effectively distill knowledge.

pac-learning-shuffle-ideals icon pac-learning-shuffle-ideals

In this project we implement an algorithm provided in the paper "On the Learnability of Shuffle Ideals" which discusses the ability to PAC learn such shuffle ideals in a practical time complexity utilizing statistical queries.

trigramse-m icon trigramse-m

A map-reduce implementation in Apache Hadoop (AWS EMR) for calculating the probabilities of trigrams in the Hebrew language. This project utilizes the deleted estimation two-way cross validation method to calculate trigram probabilities. The Google Hebrew Trigram database serves as this project's corpus.

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