Published in


Microsoft & OpenAI’s µTransfer Zero-Shot Hyperparameter Transfer Method Tunes GPT-3’s Hyperparameters on a Single GPU

Hyperparameter (HP) tuning is a strenuous, time-consuming and expensive process for today’s deep neural networks (DNNs), which often scale up to billions of parameters. The recently proposed Maximal Update Parametrization method (µP) addresses this issue by enabling “maximal” feature learning…

We produce professional, authoritative, and thought-provoking content relating to artificial intelligence, machine intelligence, emerging technologies and industrial insights.

Recommended from Medium

Machine Learning and Marketing Automation

Google Research’s SOTA GNN ‘Reasons’ Interactions over Time to Boost Video Understanding


[ Archived Post ] Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 — Introduction

Facebook AI & JHU’s MaskFeat Method Surpasses Kaiming He’s MAE, Sets New SOTA in Video Action…

What is Confusion Matrix?

How to make a neural network and train it? (in Deep Learning)

Linear Regression: Decoded

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


AI Technology & Industry Review — | Newsletter: | Share My Research | Twitter: @Synced_Global

More from Medium

OpenAI’s AutoDIME: Automating Multi-Agent Environment Design for RL Agents

Reward is Enough — ML Paper Review

Paper Summary: UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal…

DistilBERT — distilled version of BERT