training

Practice Makes Passing in computer science was anything but easy. I vividly remember reaching a breaking point around the top of the tenth week of my first semester. With just a couple of weeks...

Reasoning large language models (LLMs) are designed to resolve complex problems by...

In Part 1 of this series, how Azure and AWS take fundamentally different approaches to machine learning project management and data storage. Azure ML uses a workspace-centric structure with user-level role-based access control (RBAC),...

(AWS) are the world’s two largest cloud computing platforms, providing database, network, and compute resources at global scale. Together, they hold about 50% of the worldwide enterprise cloud infrastructure services market—AWS at 30%...

a part of a series of posts on optimizing data transfer using NVIDIA Nsight™ Systems (nsys) profiler. Part one focused on CPU-to-GPU data copies, and part two on GPU-to-CPU copies. On this post, we turn our attention...

missed but hugely vital a part of enabling machine learning and subsequently AI to operate. Generative AI corporations are scouring the world for more data continuously because this raw material is required in...

, I worked on real-time fraud detection systems and suggestion models for product corporations that looked excellent during development. Offline metrics were strong. AUC curves were stable across validation windows. Feature importance plots told...

I the concept of federated learning (FL) through a comic by Google in 2019. It was a superb piece and did a fantastic job at explaining how products can improve without sending user...