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Right now, I've got a distillation run going for an LLM aimed at SME operations. It's been running for the past few hours. The objective: build a model that's lean, efficient, and actually works in production environments, not just in a demo. If all goes according to plan, we'll have a solid artifact.

We're starting from a stronger base model — one with more headroom — and feeding it richer, more comprehensive examples. The aim is to distill a model that doesn't just score well on benchmarks but does the job when integrated into actual SME workflows: better latency, lower cost, and more relevant outputs.

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