AI Dev Skills
Multimodal & Vision
✗ Missing — critical gap
What is it?
AI systems that process and generate multiple modalities — combining image, video, audio and text understanding in a single model or pipeline.
Why it matters for AI PMs
Multimodal AI is the next major product wave. GPT-4V, Gemini Vision, and Claude's vision capabilities are enabling entirely new product categories that were impossible 2 years ago.
The 2026 landscape
Qwen2.5-VL and InternVL are the leading open vision-language models. SAM2 is standard for segmentation. Wan2.1 for video generation. The open source multimodal stack is now production-ready.
What strong coverage looks like
Strong multimodal coverage shows a team building products that go beyond text. They understand vision-language models, image generation pipelines, and audio processing.
Your library coverage (0 repos)
No repos in this skill area yet.
Key concepts to know
- •Vision-language models (VLMs)
- •Image-text contrastive learning (CLIP)
- •Video understanding and temporal reasoning
- •Audio-visual learning
- •Segment Anything and zero-shot segmentation