When people talk about artificial intelligence, they usually focus on what it produces: Human-like text, stunning images, or eerily accurate recommendations. What rarely gets attention is how AI understands anything in the first place. That understanding begins with encoders. Think of an encoder as a translator that converts messy, real-world information into a structured language [...] The post The evolution of encoders: From simple models to multimodal AI appeared first on AI News.