How is Google Aiming At a Trillion Parameter Model (PaLM): Page-by-Page Review

Author(s): Dr. Mandar Karhade, MD. PhD.

Originally published on Towards AI.

PATHWAYS: ASYNCHRONOUS DISTRIBUTED DATAFLOW FOR ML and Scaling Language Modeling with Pathways

This time I was going to deviate from a usual 1 paper 1 review approach to 2 papers 1 review. The reason is that the Pathways paper (Pathways: Asynchronous Distributed Dataflow for ML) is too technical, while the paper (PaLM: Scaling Language Modeling with Pathways) discusses the application of this architecture into the actual Language Model. The applied paper is good for discussion and has a lot of interesting information. However, after seeing that my article is now 15 minutes long, I decided to split these two into 1 paper per review.

Pathways: Asynchronous Distributed Dataflow for ML

We present the design… Read the full blog for free on Medium.

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Published via Towards AI