gyunggyung/AGI-Papers

Organizes research papers and in-depth reviews across eight core AI topics—agents, architecture, pre/post-training, evaluation, RAG, and on-device AI—with multilingual content and curated learning resources from foundational courses to cutting-edge research. Includes working drafts, lecture materials (PDF), and recommended external courses covering LLM fundamentals, reinforcement learning, and model optimization techniques. Functions as both a paper archive and knowledge hub linking to complementary datasets, training frameworks (TRL), and emerging trends in agent systems and model efficiency.

361 stars.