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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # <div align = "center">ITM AIR Lab</div>
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+ <img width="1265" height="465" alt="Screenshot 2025-11-28 022058" src="https://github.com/user-attachments/assets/ffa695b5-ea71-49fd-8cde-28e8a39e6e84" />
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+ Official blueprint and vision for ITM AIR Lab (Artificial Intelligence Research Lab) — an open-source, student-driven research laboratory focused on foundational research in Large Language Models (LLMs) and Computer Vision Models (CVMs).
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+ Badges
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+ - Status: Student‑driven • Open source
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+ - Roadmap: 0–12 months
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+ - License: MIT
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+ ## Mission
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+ - Open-source research and tools.
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+ - Focus on fundamental AI development with emphasis on LLMs and CVMs.
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+ - Promote transparency, reproducibility, and high-quality academic output.
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+ ## Core Philosophy
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+ - All research and releases are open-source.
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+ - Emphasis on reproducible experiments, clear documentation, and ethical research practices.
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+ - Foster a mentorship pipeline for junior researchers.
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+ <img width="1516" height="582" alt="image" src="https://github.com/user-attachments/assets/ececa4d4-fbd7-4ee0-a33c-3ee399b4836a" />
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+ ## Organization
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+ Three core departments:
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+ - Research Department: paper writing, experimental design, model architecture.
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+ - Data Department: dataset creation, cleaning, annotation, curation.
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+ - Development Department: training, fine-tuning, deployment, evaluation.
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+ Each department will have:
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+ - Department lead (student)
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+ - Contributors (students, interns)
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+ - Faculty/industry mentors (as available)
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+ Responsibilities: long-term strategy, funding and grants, partnerships, and ethical oversight.
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+ ## Transparency & Outreach
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+ - Maintain a daily-updated website that includes:
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+ - Research progress and publications
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+ - Datasets and model releases
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+ - Lab news and technical articles
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+ - Host regular seminars, workshops, and hackathons.
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+ ## How to Contribute
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+ - Read CONTRIBUTING.md for the process.
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+ - Open issues for proposed projects or contributions.
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+ - Follow the branch/PR naming and review workflow in CONTRIBUTING.md.
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