A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks more efficient and easier to deploy.

How understanding the timing of meals using machine learning can support preventive healthcare

Why Ruby may be the best language to write your next AI web application

A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning

We think basis-free, we write basis-free, but when the chips are down we close the office door and compute with matrices like fury.

Let's dissect the art and science of context engineering, one module at a time! The post Context Engineering — A Comprehensive Hands-On Tutorial with DSPy appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author.…

How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science. Generated by RSStT. The copyright belongs…

Part 2: Prompt Engineering for Features, Modeling, and Evaluation The post Advanced Prompt Engineering for Data Science Projects appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

A demonstration of PyTorch’s exciting new export feature on a HuggingFace model The post Capturing and Deploying PyTorch Models with torch.export appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source