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LLMSys-PaperList is a curated reading list on GitHub that organizes LLM systems research papers and resources into practical categories such as training systems, serving systems, and multi-modal coverage, helping AI/ML engineers and researchers stay updated.
A curated reading list of foundational and modern resources for understanding agentic architecture, blending classic distributed systems concepts with current AI agent patterns.
Tweet promoting the reading list for Stanford's CS153 Frontier Systems course, which features talks from industry leaders and a project on scaling one's capabilities.