Beyond Text
The first generation of powerful AI models were unimodal — GPT-3 only read text, DALL-E only generated images. The current generation is multimodal: GPT-4 Vision can describe images, Claude can analyse charts, Gemini 1.5 Pro can reason about hour-long videos, and GPT-4o processes text, images, and audio simultaneously in real time.
How Multimodal Models Work
Most multimodal models use a shared embedding space where different modalities are projected into the same vector representation. A CLIP-style encoder converts images into vectors that align with their text descriptions — "a red sports car" and an image of a red sports car have similar vector representations.
Vision-Language Models (VLMs) typically combine:
- A vision encoder (ViT — Vision Transformer) that processes images into patch embeddings
- A projection layer that maps visual embeddings into the LLM's token space
- A language model decoder that generates text conditioned on both visual and text inputs
What You Can Do with Multimodal AI
Visual Question Answering
import anthropic, base64
client = anthropic.Anthropic()
with open("chart.png", "rb") as f:
image_data = base64.b64encode(f.read()).decode()
response = client.messages.create(
model="claude-sonnet-4-5",
messages=[{"role": "user", "content": [
{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": image_data}},
{"type": "text", "text": "What trend does this chart show? List the key takeaways."}
]}]
)Document Intelligence
Analysing PDFs with embedded charts, tables, and diagrams — extracting structured data that pure text extraction would miss entirely.
Real-Time Vision
GPT-4o's real-time audio and vision mode enables applications like: live screen analysis, cooking assistance via camera, accessibility tools for the visually impaired, and live sports commentary.
Multimodal AI doesn't just add new capabilities — it fundamentally changes the interface between humans and AI. Instead of typing, you show. Instead of describing, you point. That interaction shift has enormous implications for accessibility and global adoption.
Other Articles
