Fine-tuning continues training a ready model on a small, domain-specific dataset — your surveillance footage, your medical vocabulary — so it specialises while keeping the broad knowledge it already learned. It is cheaper and faster than training from scratch.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
Fine-tuning is the step teams reach for when a general model misses domain detail, and it often costs more in data than in compute. This volume covers fine-tuning in depth: the ML minimum for product decisions, model artifacts, the lifecycle of an AI feature, and domain adaptation for vision, speech and vision-language models. Written by Nikolay Sapunov, CEO at Fora Soft.
Wondering if fine-tuning will fix your model on domain footage?
Send us samples where the model fails, and we will estimate the data, compute and accuracy gain of fine-tuning versus prompting or a different model. 250+ video products shipped since 2005.
