Training today’s deep learning models is resource-hungry. Models have billions of parameters, and every step requires trillions of floating-point operations. To make training feasible, researchers and engineers rely on mixed…
If you’ve ever written code in Python, CUDA, or TensorFlow, you’ve probably seen terms like float16, float32, or float64. They map directly to the IEEE-754 floating-point standard: But what do…
Natural language generation has rapidly evolved with the rise of large language models, but one common point of confusion is distinguishing between causal language models (CLMs) and conditional generation models.…
Artificial Intelligence (AI) has revolutionized how we interact with technology, from chatbots that answer questions to AI models that generate lifelike images and translate languages instantly. But behind many of…
NVIDIA DGX (Deep GPU Xceleration) is synonymous with cutting-edge artificial intelligence (AI) infrastructure. Designed to accelerate AI research and applications, the DGX family of systems provides unparalleled computational power for…
Optical Character Recognition (OCR) is a technology that converts images of text (such as scanned documents, photos, or screenshots) into machine-readable text. While OCR has come a long way, evaluating…
When evaluating machine learning models, accuracy is one of the most commonly used metrics for classification tasks. In this blog post, we’ll dive into the accuracy_score function provided by Scikit-Learn’s…
In the world of machine learning, pretrained models are like finding a treasure chest of knowledge. They save us hours, days, or even weeks of training time, allowing us to…
When training or deploying deep learning models, precision isn’t just about getting accurate predictions—it’s also about finding the right balance between performance, memory usage, and speed. Choosing the optimal precision…
Have you ever tried running a colossal language model on a GPU that feels more like a toaster than a supercomputer? Enter LoRA and QLoRA—two magical spells for squeezing every…
Running a CUDA Docker image on an AWS Ubuntu instance enables you to leverage GPU-accelerated computations directly within Docker containers. In this guide, we’ll walk through the process of installing…
Installing the NVIDIA driver on an AWS EC2 instance running Ubuntu 24.04 can sometimes be challenging due to AWS’s custom environment and kernel. Although the ubuntu-drivers tool is the recommended…
Fine-tuning large language models (LLMs) can be a challenging process due to the variety of parameters and configurations involved. In this blog, we’ll break down key parameters used to fine-tune…
If you’re just starting out with Python and have heard of NumPy, you probably know it’s a fantastic library for handling numbers, arrays, and matrices. So, why would PyTorch, a…
In the world of deep learning, images are a critical form of data. Whether you’re building a computer vision model, training on image datasets, or working on image processing tasks,…
Anjing 
Dr. Anjing Wang