1-on-1 SOTA AI Math

​Skip the 20-hour struggle. In this personalized 1-hour session, you’ll dive deep into the math behind today’s state-of-the-art AI models—without getting lost in jargon or dense papers.

​How it works:
You choose any 2 topics from our curated list of SOTA AI models and algorithms below.

1. ​Modern Transformer:

   • ​Multi-head Attention (MHA)

   • ​Grouped Query Attention (GQA)

   • ​Mixture of Experts (MoE)

2. ​DeepSeek

   • ​Multi-Head Latent Attention (MLA)

   • ​Native Sparse Attention (NSA)

3. ​GPU Optimization:

   • ​Tiled Matrix Multiplication

   • ​Systolic Array

   • ​Flash Attention

4. ​Modern Techniques:

   • ​BatchNorm vs LayerNorm vs RMSNorm

   • ​Low-Rank Adaptation (LoRA)

   • ​Rotary Positional Embedding (RoPE)

5. ​Sequence Learning:

   • ​RNN

   • ​LSTM

   • ​Seq2Seq

​Then, using our proven AI by Hand ✍️ system, we’ll walk you step-by-step through the core math—using concrete numbers you can work out by hand. No walls of equations. Just clear, visual reasoning that help you truly understand what’s happening under the hood.

​What you’ll get:
✅ 1-on-1 live session with a senior PhD student
✅ Custom walkthrough of 2 SOTA AI topics

​Why it matters:
Most AI practitioners treat these models as black boxes. By understanding the math, you’ll gain an edge over 95% of others—those who can only apply models but not explain or adapt them. This is how you stand out in research, product development, and technical interviews.

​We’re the only place teaching this way.
No other program breaks down cutting-edge AI models into simple, handwritten math you can grasp in a single sitting. If you’ve ever wished someone could just “show you how it works,” this is that session.

​💲 Reimbursement Tip:
Many AI companies support professional development. After booking, we’ll provide a receipt and a brief description of the session you can submit for reimbursement.

​Don't just use AI—understand it!