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←Library/Multimodal & Vision

AI Dev Skills

Multimodal & Vision

βœ— Missing β€” critical gap

What is it?

AI systems that process and generate multiple modalities β€” 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

  • β€’Vision-language models (VLMs)
  • β€’Image-text contrastive learning (CLIP)
  • β€’Video understanding and temporal reasoning
  • β€’Audio-visual learning
  • β€’Segment Anything and zero-shot segmentation

Related tags

Computer VisionImage GenerationVideo GenerationMultimodal AIPoint Cloud / 3D VisionObject DetectionSegmentationDepth Estimation3D ReconstructionText to SpeechSpeech to TextMusic / Audio AI