Don’t just scale your models — distill their genius. Your users won’t notice the difference, but your infrastructure costs will. Fine-Tuning vs. Distillation. When to use each Understanding why you need them and when to choose one versus using a base model Nicholaus Lawson · Follow Published in Data Science Collective · 5 min read · 1 hour ago — Image credit: Google Gemini The technologies, patterns, and best practices around LLMs change daily. One of the more popular topics recently is ‘Model Distillation’. While this is nothing new, the appearance of DeepSeek distilled models and the ability to distill models within tools like Amazon Bedrock have accelerated its interest and adoption within organizations. It can be confusing why organizations may want to choose a distilled model or even […]
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