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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 humorous AI Agent Mother's Day rant goes viral: stop asking me to buy flowers! Exploring AI's deepening role in daily life, holiday commerce, and the ethics of anthropomorphic design.
TutorialsA deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
Industry InsightsDeep analysis of 5 AI monetization paths for ordinary people: AI apps, account reselling, matrix accounts, lightweight paid services, and local model deployment.
Tech FrontiersSGLang team hosts an Agent Loops Office Hour exploring inference optimization for agentic loops, covering KV Cache reuse, low-latency multi-turn dialogue, and tool calling techniques.
Deep Dive into Three Major LLM Career …
Deep analysis of three core LLM roles—Application Engineer, Development Engineer, and Algorithm Engineer—covering technical requirements, salary thresholds, and career prospects including RAG, fine-tuning, and inference deployment.