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LLM fundamentals, training, deployment, and applications
Agent architectures, tool calling, and autonomous systems
Retrieval-augmented generation and vector databases
Prompting techniques, chain-of-thought, and optimization
Inference optimization, quantization, and serving
SFT, RLHF, LoRA, and parameter-efficient methods
Scaling laws, emergent abilities, and architecture