Despite the emphasis on X86 clusters, large public clouds, accelerators for commodity systems, and the rise of open source analytics tools, there is a very... (more…)

An in-depth article discussing the intricacies of efficient model quantization in machine learning and their application in large language models for improved efficiency. (more…)

The rapid progress in deep reinforcement learning (RL) over the last few years holds the promise of fixing the shortcomings of computer opponents in video games and of unlocking entirely new region… (more…)

Posted by Alan Ho, Product Lead and Masoud Mohseni, Technical Lead, Google Research “Nature isn’t classical, damnit, so if you want to m... (more…)

Uber built Manifold, a model-agnostic visualization tool for ML performance diagnosis and model debugging, to facilitate a more informed and actionable model iteration process. (more…)