multimodal

A capability-by-capability tour of frontier LLMs in 2026 — which models are strong at reasoning, code, math, long-context, multilingual, multimodal, and tool use, with hedged comparisons instead of point-estimate benchmark wars.

What "multimodal" actually means once you get past marketing copy. How modern models like GPT-4o, Gemini, and Claude blend modalities, and the design trade-offs (early vs late fusion, native vs adapted) you'll meet when building with them.

How models like CLIP, GPT-4V, and Claude visual learn to talk about pictures. Cover the contrastive trick behind CLIP, the difference between embedding models and generative VLMs, and where each one shines.