Training adjusts a model's millions of internal numbers, called weights, by repeatedly comparing its guesses to known answers. It is a one-time, compute-heavy investment; most video teams use an already-trained model and never train 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
Training from scratch is rarely the right first move for a video product: fine-tuning or picking a ready model is usually cheaper and faster. Volume 6 covers training in detail within the ML minimum for decisions: the lifecycle of an AI feature, model artifacts and formats, open versus closed models and when custom training pays off. Written by Nikolay Sapunov, CEO at Fora Soft.
Deciding whether to train your own model or fine-tune an existing one?
Describe your task and the data you have, and we will tell you whether training is needed, which base model to start from and what it will cost. 250+ video products shipped since 2005.
