by Zainul Abideen | Jul 6, 2025
Introduction Micrograd is a tiny yet powerful Autograd engine designed to facilitate the implementation of neural networks. Developed by Andrej Karpathy, this project provides a straightforward way to perform backpropagation over a dynamically built Directed Acyclic...
by Zainul Abideen | Jul 6, 2025
Introduction Megatron-LM is a powerful framework developed by NVIDIA for training large language models efficiently. With its advanced architecture and features, it is designed to handle the complexities of modern natural language processing tasks. This blog post will...
by Zainul Abideen | Jul 6, 2025
Introduction ExLlama is a cutting-edge implementation of the Llama model designed for high performance and efficiency on modern GPUs. Utilizing 4-bit GPTQ weights, ExLlama aims to provide developers with a robust tool for deploying Llama models with minimal memory...
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...
