Domain Adaptation Fine-Tuning — Specialise Your LLM for Industry

I will fine-tune an LLM for your specific industry domain — using continued pre-training on domain text followed by supervised fine-tuning on domain-specific instruction pairs, producing a model that understands your domain's vocabulary, conventions, and knowledge patterns more accurately than a general-purpose model. Domain adaptation fine-tuning produces the largest quality improvements in industries with highly specialised vocabulary and reasoning patterns — legal, medical, financial, and scientific domains each use language in ways that general-purpose models have limited exposure to; domain-adapted models generate more accurate, appropriately cautious, and domain-conventionally-correct outputs for these industries.

The fine-tuning covers domain corpus assembly for continued pre-training, instruction pair creation for supervised fine-tuning, training pipeline with domain vocabulary evaluation, held-out domain benchmark evaluation, and comparison against a prompted general-purpose model on your domain tasks.