---
emoji: 🔥
colorFrom: gray
colorTo: indigo
sdk: static
pinned: false
title: "DSTI — AI Community"
type: "organization"
tags:
  - community
  - education
  - machine-learning
  - deep-learning
  - nlp
  - computer-vision
  - generative-ai
  - open-source
  - teaching
  - research
library_name:
  - transformers
  - diffusers
  - datasets
  - peft
---

# 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.

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## 🎯 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**.