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…
Introduction In today’s fast-paced software development landscape, Docker has become an indispensable tool, revolutionizing the way we build, ship, and run applications. One of its remarkable capabilities is enabling developers…
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…
Dr. Anjing Wang