Posted by Wei Wei, Developer Advocate Register for the Summit here! Recommendation systems are everywhere. They power our favorite websites, apps, and services, helping us find the things we enjoy. But how do modern recommenders work? What are the key components and how do they fit together? How can we…
Posted by Thad Starner (Professor, Georgia Tech and Staff Research Scientist, Google), Sam Sepah (ML Research Program Manager), Manfred Georg (Software Engineer, Google), Mark Sherwood (Senior Product Manager, Google), Glenn Cameron (Product Marketing Manager, Google) Over 70 million deaf people around the world use sign language to communicate. Collectively, they…
Posted by Lauren Usui and Joe Fernandez Artificial intelligence is a topic of kitchen table conversations around the world today, and as AI becomes more accessible for users and developers, we want to make it easier and more useful for everyone. This year at Google I/O, we highlighted how we…
Posted by Ayush Jain, Carlos Araya, and Mani Varadarajan for the TensorFlow team Welcome to TensorFlow and Keras at Google I/O! The world of machine learning is changing, faster than ever. The rise of Large Language Models (LLMs) is sparking the imagination of developers worldwide, with new generative AI applications…
Posted by Jeremy Wortz, ML specialist, Google Cloud & Jordan Totten, Machine Learning Specialist Cross posted from Google Cloud AI & Machine Learning In a previous blog, we outlined three approaches for implementing recommendation systems on Google Cloud, including (1) a fully managed solution with Recommendations AI, (2) matrix factorization…