Generative AI: Supercharging Humans, Transforming Creativity

“Generative AI” is the next-level process of using machine learning algorithms to create new content based on “intelligence” gathered through training on a large corpus of text (even code!), images, audio, and video files. The broad category of Generative AI utilizes many different types of models, including Large Language Model (LLM). LLM is an AI model trained on a large corpus of text to predict the likelihood of a given sequence of words using statistical techniques. Companies such as OpenAI and Midjourney or open-source communities such as Stable Diffusion have invested millions of dollars in productizing groundbreaking AI papers and pre-training on large datasets available on the Internet. Once available, individuals and companies can utilize these large, pre-trained models to solve domain-specific problems, through transfer learning, without the significant computational overhead.

This paper describes some of the early applications of Generative AI and LLMs models in media broadcasting and streaming. One of the demonstrated applications is the ability to generate actionable video descriptors/tags, such as identifying a scene where a woman is standing in front of the Eiffel Tower or on a moving train.

Naveen Narayanan | Quickplay | Toronto, Ontario, Canada