training

Azure ML vs. AWS SageMaker: A Deep Dive into Model Training — Part 1

(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%...

Optimizing Data Transfer in Distributed AI/ML Training Workloads

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...

Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

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...

Why Your ML Model Works in Training But Fails in Production

, 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...

Federated Learning, Part 1: The Basics of Training Models Where the Data Lives

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...

I Measured Neural Network Training Every 5 Steps for 10,000 Iterations

how neural networks learned. Train them, watch the loss go down, save checkpoints every epoch. Standard workflow. Then I measured training dynamics at 5-step intervals as an alternative of epoch-level, and all the...

Using generative AI to diversify virtual training grounds for robots

Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage...

How you can construct AI scaling laws for efficient LLM training and budget maximization

When researchers are constructing large language models (LLMs), they aim to maximise...

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