Diffusion Model Study Group, Starting Jan 2026

[final rover]

🚀 New AI Study Group — Learn Diffusion Models from Scratch

Generative AI is evolving fast — and the future now runs on Diffusion Models and Transformers.

Launching a 12-person, 3‑month study group (starting Jan 2026) — inspired by MIT’s diffusion course — to go from first principles to real-world implementations.

Before we kick off in January, join our two free December intro workshops to get a taste of the material and the cohort.

---

🧠 December Free Intro Workshops

📅 Dec 13 — Intro to Transformer Architecture & “Attention Is All You Need”

🔗 https://luma.com/kqjrf0uw

Learn the core Transformer architecture, attention mechanism, and why this paper underpins modern LLMs and multimodal models.

📅 Dec 20 — Intro to Diffusion Transformers: Paper Walkthrough + Code Implementation

🔗 https://luma.com/lr2qvveq

Walk through a Diffusion Transformer paper and implement the core ideas in code, connecting diffusion models with transformer architectures.

---

🎓 Diffusion Models Study Group (Starts January 2026)

3 months · ~3–4 hrs/week · 12‑person cohort · Online & in‑person (Santa Clara).

📘 Inspired by MIT’s Flow Matching and Diffusion Models course notes: https://diffusion.csail.mit.edu/docs/lecture-notes.pdf.

👥 Classmates will include a CTO of an AI film startup, LLM educators, and full‑time AI researchers.

You’ll get:

• Peer‑led sessions with mentor guidance
• Real research paper discussions
• Hands‑on projects & code walkthroughs

By the end, you’ll:

Train & fine-tune your own diffusion model, build an AI image app, and be able to follow and reproduce cutting‑edge generative AI research.

[cyan verge]

what's the process to registere for it?

[grim lance]

same q