How Did We Go From Large Language Models to Large Behaviour Models?

Large Content & Behaviour Models (LBM / LCBM) integrate language & vision to simulate & understand both ontent (like text, images, or videos) and behaviours (such as user interactions or preferences).

It connects a language model with a visual encoder and is fine-tuned using datasets linking content to human behaviours.

For example, it analyses YouTube videos and their engagement metrics or Twitter posts and their interactions. LCBMs aim to predict behaviours based on content and vice versa, demonstrating both domain adaptation and generalisation.

Chief Evangelist @ Kore.ai | I’m passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior