7 posts
AI models: how to match a model to the task (not to its name), when a smaller one is enough, and how to count cost. Profiles, not 'general intelligence'.
Three leading model families, three distinct profiles. Head-to-head based on measured parameters—and when to choose which.
There’s no single best model. There’s the right model for the job—chosen by measurement, not by name. A practical guide to selection.
When fine-tuning makes sense: selection criteria, costs, and pitfalls. When RAG solves the problem cheaper, and when model training is the only way.
Small AI model vs large LLM: when a specialized 7B outperforms a general GPT-4-class model, the cost difference, and how to choose correctly for your business.
Reasoning models excel at tough decisions—but they're slow, expensive, and empty when forced into simple tasks. When thinking pays off.
Two paths to a model that knows your business. When RAG is enough, when fine-tuning is needed—and why RAG is usually the answer.
A model that sees. Vision AI reads documents, describes photos, and extracts data from images — where it actually saves hours.