A large language model learns patterns of language from huge corpora and produces fluent text, answers, and code. In video products it summarises transcripts, drives agents, and, when paired with a vision encoder, becomes the language half of a VLM.
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
An LLM summarises transcripts, drives agents and forms the language half of a VLM, so its choice shapes cost and quality across a video product. This volume covers the LLM in its ML minimum for product decisions: model artifacts, the open-versus-closed procurement decision, vision-language models, and search and RAG. Written by Nikolay Sapunov, CEO at Fora Soft.
Choosing an LLM for summaries, search or agents in your video product?
Tell us the tasks and volumes, and we will shortlist LLM options and compare quality, latency and monthly cost on your data. 250+ video products shipped since 2005.
