The evolution of encoders: From simple models to multimodal AI

Artificial intelligence's ability to generate human-like text, images, and recommendations often overshadows the foundational technology that enables its understanding. This crucial component is the encoder, which acts as a translator, converting complex real-world data into a structured format that AI models can process. The development of encoders has progressed significantly, moving from basic models to sophisticated systems capable of handling multimodal AI.

Understanding encoders is essential for comprehending how AI systems learn and process information, which is fundamental to their increasing capabilities.