model-serving

SKILLWorkflowcommunity
v0.0.0ancolemanMITUpdated 9mo agoSource →

LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and str

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9mo agoLast update
Skill
Authorancoleman
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
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About

LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.

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