Trends in the Dollar Training Cost of Machine Learning Systems – Epoch

I combine training compute and GPU price-performance data to estimate the cost of compute in US dollars for the final training run of 124 machine learning systems published between 2009 and 2022, and find that the cost has grown by approximately 0.5 orders of magnitude per year.

Epoch vs Batch Size vs Iterations, by SAGAR SHARMA

The bigger-is-better approach to AI is running out of road

The Economic Case for Generative AI and Foundation Models

Algorithms, Free Full-Text

Training history of 1000 epochs iteration of CNN model as

A systematic evaluation of machine learning on serverless

Computational Power and AI - AI Now Institute

Compute Trends Across Three eras of Machine Learning — LessWrong

Compute Trends Across Three eras of Machine Learning — AI

The Machine Learning Compute Protocol and our future — Gensyn

Stock Price Prediction using Machine Learning with Source Code

Direct Approach Interactive Model – Epoch

Test-time augmentation for deep learning-based cell segmentation