InclusionAI's Ling 3.0 flash VL accepts images and video alongside text. Its model card describes a visual encoder that extracts information from those inputs and connects it to the LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition →. For video, the system also represents spatial position and time order, helping it reason about changes across frames. The intended uses extend from interpreting documents to understanding software interfaces and proposing actions. The FP8 release provides downloadable model weights and deployment instructions for teams building those workflows.
Terms in this piece · Glossary
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
