Learning the importance of training data under concept drift – Google Research Blog
Posted by Nishant Jain, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research The constantly changing nature of the world ...
Tag: Google
A flexible library for auditing differential privacy – Google Research Blog
Research Scientist, Mónica Ribero Díaz, discusses the importance of Differential Privacy (DP) in protecting user data during data processing and ...
This AI Paper from Stanford and Google DeepMind Unveils How Efficient Exploration Boosts Human Feedback Efficacy in Enhancing Large Language Models
Artificial intelligence has seen remarkable advancements with the development of large language models (LLMs). Thanks to techniques like reinforcement learning ...
Graph neural networks in TensorFlow – Google Research Blog
Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are everywhere ...
A decoder-only foundation model for time-series forecasting – Google Research Blog
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is widely used in various domains, including retail, finance, ...
Intervening on early readouts for mitigating spurious features and simplicity bias – Google Research Blog
Posted by Rishabh Tiwari, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research Machine learning models in the real world ...
Rapid text-to-image generation on-device – Google Research Blog
Posted by Yang Zhao, Senior Software Engineer, and Tingbo Hou, Senior Staff Software Engineer, Core ML Text-to-image diffusion models have ...
Google Project IDX: A promising next-generation cloud IDE
In August 2023, a small group of Google development and UX leads expressed their frustration with the challenges of setting ...
This AI Paper from ETH Zurich, Google, and Max Plank Proposes an Effective AI Strategy to Boost the Performance of Reward Models for RLHF (Reinforcement Learning from Human Feedback)
In language model alignment, the effectiveness of reinforcement learning from human feedback (RLHF) hinges on the excellence of the underlying ...
Mixed-input matrix multiplication performance optimizations – Google Research Blog
Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies have become an integral part of our daily lives, ...
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