Meet Yu Li, the intent behind Transformer Discover and Foundations, and how this site stays useful as models and tooling evolve.
datatec.studio publishes Transformer Discover walkthroughs, a Foundations glossary, and pointers to Udemy courses—original English prose you can trust for teaching, interviewing, or shipping honest ML systems.
Transformer Discover — structured essays on flagship papers (starting with Attention Is All You Need), with six predictable sections from motivation to tooling.
Foundations — one glossary page per technical term, wired from hover marks in the essays so jargon never floats without a definition.
Udemy — optional video depth on AI engineering and full-stack topics when you want a paced course alongside reading.
Hi, I'm Yu Li — a software engineer based in Germany and the founder of datatec.studio. I have been building software professionally since 2009 across web, mobile, cloud, and applied AI.
This site is where I invest in durable explanations: how Transformers rewired NLP, which terms actually matter in day-to-day engineering, and what the original papers do (and do not) promise.
I care about depth without hype—clear structure, explicit limits, and outbound links when you need the primary sources yourself.
I also teach on Udemy. If a walkthrough or glossary entry helps your team, or something should be clearer, I would like to hear it.
Readers should leave with sharper mental models—not buzzwords—so they can evaluate LLM stacks, training choices, and product claims without feeling lost in jargon.
Ship substantive English content that pairs flagship research context with precise vocabulary, and point to video courses only when they genuinely complement the reading.
datatec-studio.com is organised around two public pillars—Transformer Discover and Foundations—with Udemy linked in the site footer when you want video.
Understand Why Transformer Changed AI—structured walkthroughs and a Foundations glossary for transformer-era terminology. Link landmark NLP papers (starting with Attention Is All You Need) to everyday LLM engineering without jargon overload.
Open Transformer DiscoverStructured video courses for learners who prefer step-by-step instruction. Topics include AI engineering, full-stack development, and complementary depth for what you read in Transformer Discover and Foundations.
See the coursesA few principles guide what gets shipped on datatec-studio.com:
Essays and glossary pages are written from practice and study—not scraped paper dumps, not auto-generated filler.
Tracking and ad cookies stay off until you explicitly consent. You can reopen preferences any time from the footer.
The marketing site is Next.js (App Router) and Tailwind, exported as static files to Azure Storage. Interactive backends stay outside this bundle (for example Azure Functions), scoped to the features that still need them.
Spot an unclear section in Transformer Discover, a glossary gap, or a typo that breaks trust? Use the contact form—I read every message.
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