DSTI — AI Community
DSTI is a university community focused on teaching, researching, and building with AI.
We share open-source models, datasets, and learning resources across NLP, Computer Vision, and Generative AI, with a strong emphasis on reproducibility and knowledge sharing.
Interests: Deep Learning (NLP & CV), Open Source, Reproducible Research, Knowledge Sharing, MLOps, Responsible AI.
🎯 Mission & Values
- Educate: Provide hands-on, industry-relevant ML/AI education.
- Open: Build in the open—code, weights, datasets, and docs.
- Reproduce: Promote rigorous, repeatable experiments and clear reporting.
- Uplift: Help students and practitioners learn, contribute, and grow together.
🧭 Focus Areas
- NLP: instruction-tuned LMs, evaluation, tokenization, prompt design.
- Computer Vision: image classification, detection, segmentation, multimodal.
- Generative AI: diffusion models, LLM fine-tuning/LoRA, evaluation.
- MLOps & Tooling: training recipes, experiment tracking, deployment tips.
- Responsible AI: bias, safety, documentation, and model cards.
📦 What You’ll Find Here
- Models: Student projects, course baselines, research prototypes.
- Datasets: Curated, class-safe datasets with clear licenses and splits.
- Spaces: Demos, teaching assistants, benchmarking dashboards.
- Learning Resources: Labs, notebooks, reading lists, and cheatsheets.
All repos aim to include a README/model card, license, training details, and repro steps.