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 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 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…
Posted by Chansung Park and Sayak Paul (ML and Cloud GDEs) Generative AI models like Stable Diffusion1 that lets anyone generate high-quality images from natural language text prompts enable different use cases across different industries. These types of models allow people to generate these images not only from images but…
Posted by Timothy Jordan, Director, Developer Relations & Open Source I/O is just a few days away and we couldn’t be more excited to share the latest updates across Google’s developer products, solutions, and technologies. From keynotes to technical sessions and hands-on workshops, these announcements aim to help you build…