Ksenia Se, Turing Post

DataDecisionMakers Author

Ksenia Se is founder of Turing Post, an ML newsletter that provides analysis of where AI comes from, its current impact and where humans are driving it.  Board member at Track Two: An Institute for Citizen Diplomacy, currently writing a book about them. Previously: guest lecturer at HSE (Moscow, Russia); Middlebury Institute of International Studies (Monterey, USA). Ex editor-in-chief of TheQuestion, ex NY chief editor of Snob Magazine. Contributor to Stratfor, Towards Data Science, The Startup, and others.

VentureBeat/Ideogram

The economics of GPUs: How to train your AI model without going broke

Many companies have high hopes for AI to revolutionize their business, but those hopes can be quickly crushed by the staggering costs of training sophisticated AI systems. Elon Musk has pointed out that engineering problems are often the reason why progress stagnates. This is particularly evident when optimizing hardware such as GPUs to efficiently handle the massive computational requirements of training and fine-tuning large language models.

Ksenia Se, Turing Post