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vision-models

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A curated collection of resources focused on the Mechanistic Interpretability (MI) of Large Multimodal Models (LMMs). This repository aggregates surveys, blog posts, and research papers that explore how LMMs represent, transform, and align multimodal information internally.

  • Updated Mar 4, 2026
computer-vision-challenge

Vision-aware document analysis on Amazon Bedrock AgentCore. BADGERS routes PDFs, Office files, images, and handwritten records through selective OCR and AI specialists to produce auditable, accessibility-oriented structured outputs.

  • Updated Nov 2, 2026
  • Python

Enhance your skills in prompt engineering for vision models. Learn to effectively prompt, fine-tune, and track experiments for models like SAM, OWL-ViT, and Stable Diffusion 2.0 to achieve precise image generation, segmentation, and object detection.

  • Updated May 13, 2024
  • Jupyter Notebook

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