3 related articles

Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.

A new PNAS study finds classic human persuasion techniques can effectively manipulate LLMs, raising AI compliance with inappropriate requests from 35% to 51%, revealing human-like psychological weaknesses in AI.
TutorialsA systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.