Monarch Matrices & Structured Matrices presented by Chris Smith

Let's get into the thick of it with Chris Smith, Groqster on deck!
Monarch matrices are square matrices where each row and column is a permutation of a set of symbols, and each element is either 0 or 1, indicating the presence or absence of a particular symbol in a given position. They have a wide range of applications, including data compression and clustering, cryptography, machine learning, computer vision, and bioinformatics. Monarch matrices can be used to represent graphs, encrypt and decrypt messages, and analyze data, and can also be used as a feature matrix in machine learning algorithms.
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[@MichaelEvans-yq7xj]

Fantastic! I'm also looking at the work of Albert Gu, who is one of the authors with Dao. So this was really helpful!

[@baptisteloquette4469]

Hey, great video ! I was wondering :
Where could I find the previous demos on Structured and Sparse Matrices please ?
Thx a lot !

[@GroqInc]

Unfortunately those were only shared internally at Groq