Part 14 of a LLMOps crash course covering the fundamentals of LLM serving: how to make a language model accessible as a service. Topics include API-based providers vs. self-hosted inference, deployment topology decisions (on-prem, cloud, hybrid), serving with vLLM, and practical trade-offs around cost, latency, scaling, and data privacy for production deployments.
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