by Zainul Abideen | Jul 6, 2025
Introduction AutoGPTQ is an innovative open-source project designed to facilitate the quantization of machine learning models, particularly those used in natural language processing. By leveraging advanced techniques, AutoGPTQ enables developers to optimize their...
by Zainul Abideen | Jul 6, 2025
Introduction Horovod is a powerful distributed training framework designed to simplify the process of training deep learning models across multiple GPUs and nodes. This blog post will guide you through deploying Horovod on a Kubernetes cluster using Helm, enabling you...
by Zainul Abideen | Jul 6, 2025
Introduction NVIDIA’s Apex is a powerful tool designed to enhance the training of large Transformer models through efficient parallelism techniques. With the growing demand for sophisticated AI models, Apex provides developers with the necessary utilities to...
by Zainul Abideen | Jul 6, 2025
Introduction T5X is an innovative project developed by Google Research that facilitates the deployment of advanced Natural Language Processing (NLP) models on TPU (Tensor Processing Unit) virtual machines. This blog post will guide you through the essential features,...
by Zainul Abideen | Jul 6, 2025
Introduction CausalML is a powerful Python package designed for uplift modeling and causal inference using machine learning algorithms. Developed by Uber, this library provides a comprehensive suite of tools to estimate the Conditional Average Treatment Effect (CATE)...
