Small Language Models & Right-Sized AI
Right-sizing a model is only half the job. The other half is building the integration so that swapping the model later is a Tuesday, not a project.
Read more →The technology to make it happen and the people who deliver it.
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Information should find the people who need it — not the other way around.
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Thinking out loud on networks, software, AI, and the work behind moving information reliably.
Right-sizing a model is only half the job. The other half is building the integration so that swapping the model later is a Tuesday, not a project.
Read more →The big model is the safe choice right up until the bill arrives. Most of the time, the small one is the honest answer.
Read more →Most enterprise AI projects don't need a data migration, they need an integration layer that works against the data estate you already have.
Read more →Inference latency is a networking problem, not a model problem, and the teams winning on AI experience are the ones who stopped tuning the model and started looking at the network.
Read more →It takes a lot to provide zero failures.
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