Build, buy or fine-tune? How companies choose their AI approach
Off-the-shelf assistants, API integrations, retrieval-augmented generation, fine-tuning or your own model: the trade-offs in cost, control and time to value.
AI Desk1 min read
Developers & Builders
Fine-tuning & Training
Fine-tuning, distillation and training runs.
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Fine-tuning an LLM with LoRA: a practical overview
When fine-tuning helps, how LoRA and QLoRA make it affordable, how to prepare data, train, evaluate and deploy an adapter — and when not to fine-tune at all.
AI Desk3 min read
Knowledge distillation explained: how small AI models learn from big ones
Distillation trains a compact "student" model to imitate a large "teacher". How it works, why it powers today's small models, and its legal and quality limits.
AI Desk3 min read