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.
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AI
When a small model is the honest answer
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 →The case against rip-and-replace AI: meeting your data where it lives
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 →Why inference latency is the next networking problem
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.
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