This repository aggregates foundational and advanced research papers across the AI engineering landscape, organized into topics including tokenization, vectorization and embeddings, core model architectures (Transformers, Attention, MoE), RLHF fine-tuning, and infrastructure (FAISS, Ray, vector databases). It serves as a structured learning path for practitioners seeking to build expertise in LLMs and ML systems.