The Hindu·4 min read·medium

Google DeepMind’s India chiefs on the race to make AI cheaper, safer — and finally good at code

J
John Xavier
Google DeepMind’s India chiefs on the race to make AI cheaper, safer — and finally good at code
AI Summary

Google DeepMind's India leadership is prioritizing the development of more efficient AI models, specifically focusing on coding capabilities. The team is utilizing techniques like 'Matryoshka-inspired' transformers to reduce compute costs and improve performance for global applications.

Alphabet’s CEO Sundar Pichai’s admission in a New York Times podcast that Google is “falling a little behind” in AI coding tools has become one of the more pointed lines to emerge from the search giant’s leadership this year. It is also, it turns out, a fair question to put to the two executives who run Google DeepMind’s operations in India — a market the company increasingly treats as a proving ground for making its Gemini models cheaper, faster and more useful to build with.

Continue reading on Headlinne

Create a free account to read the full article.

Read full article →
technologybusinessai

Get the full story

Sign up for Headlinne to unlock AI insights, political bias analysis, and your personalized news feed.

Create free account

Already have an account? Sign in