Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Abstract: Optimizing Python code is essential for enhancing performance and efficiency. This project investigates the use of large pre-trained language models, specifically GPT (Generative Pre-trained ...

Abstract: A Python optimization method is proposed to ad-dress the slow and inefficient encryption speed of third-party libraries (gmssl and pysmx) commonly used in Python to im-plement national ...

Aligning large language models (LLMs) with human values and preferences is challenging. Traditional methods, such as Reinforcement Learning from Human Feedback (RLHF), have paved the way by ...

Designing computational workflows for AI applications, such as chatbots and coding assistants, is complex due to the need to manage numerous heterogeneous parameters, such as prompts and ML ...

I recently discovered that 10 pages on our website accounted for over 61.2% of our total clicks reported in Google Search Console (GSC) in the last three months! This is a site with around 300 ...