Vision-Language Models
Explore how vision-language models combine text and image inputs to deliver accurate and verifiable responses. Understand how to design request and output contracts, manage image data safely, and implement testing strategies to ensure reliable multimodal AI performance.
A text only call can answer a question about an image by guessing. Ask What brand is this laptop and the response often fills the gap with common brands and generic cues, which sounds specific but cannot be traced to any pixels.
Attach the image and the response changes shape. It can point to a visible logo, a port layout, or a sticker, yet it can still fail in ways we can observe such as missing small printed text, miscounting repeated objects, or describing an occluded area with unjustified certainty. Vision-language models add a new input modality, ...