AI & ML interests

QuarkML is a technical publication focused on understanding modern machine learning systems from the ground up. The goal of QuarkML is to study machine learning and artificial intelligence at a fundamental level — covering the underlying ideas, mathematics, architectures, and implementation details that make these systems work. Articles emphasize depth, clarity, and first-principles reasoning, often supported by code and experiments. Rather than focusing on tools or trends, QuarkML concentrates on the internal structure of learning systems: how models are built, how they learn, and why they behave the way they do. QuarkML is written for readers who want to move beyond surface-level usage and develop a deeper technical and conceptual understanding of advanced learning systems. The primary goal of this project is to enhance our understanding of AI at a fundamental level. This includes gaining insights into the intuition, mathematics, code, and other critical aspects through in-depth articles and practical examples. By gaining a deeper insight into how these systems function at a fundamental level, this project hopes to foster the development of both individual and collaborative researchers who can advance the field. Join us in this initiative! Contact: info@quarkml.com

Recent Activity

Sidharthan  updated a Space 14 days ago

QuarkML/README

Sidharthan  published a model 21 days ago

QuarkML/QMoE-400-checkpoints

Sidharthan  updated a model about 1 month ago

QuarkML/QMoE-400

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