AI by Hand ✍️ Academy

My New Year’s resolution for 2026 is simple:

I’m building the AI by Hand ✍️ Academy—and opening my classroom to learners around the world.

I will be dedicating substantial time to creating new material and organizing my existing content into a comprehensive library for both beginners and advanced AI professionals.

Who this is for

The AI by Hand Academy is for learners who want to understand, not just use, modern AI. If you’re a student building foundations, an engineer tired of black-box APIs, or a researcher who wants intuition to match equations—you’re in the right place.

Library

Seminar Series

• 🔥 Transformer - Six Levels of Understanding (2/12/2026)

• 🔥 Meta Superintelligence Labs vs Facebook AI Research (2/5/2026)

• 9 AI Eval Formulas (1/29/2026)

• Google Ironwood TPU: From Bits to HBM (1/22/2026)

• How Small Models Learn Tool Use AWS (1/15/2026)

• Attention (1/15/2026)

• Manifold-Constrained Hyper Connection (mHC) DeepSeek (1/8/2026)

• Introduction to Generative AI (1/8/2026)

• Gated Attention (NeurIPS 2025 Best Paper) (12/16/2025)

• [Free Preview] Agent Hallucination (11/7/2025)

• [Free Preview] GPU (10/30/2025)

• [Free Preview] Scaling LLMs Google (8/20/2025)

• [Free Preview] LLaMA 1 to 2 to 3 to 4 (5/14/2025)

• [Free Preview] Drawing DeepSeek by Hand ✍️ (2/20/2025)

Course: Introduction to Agentic AI

New 2026 edition, featuring live calculations and sample code built directly in Excel.

• Module 1: Foundation

• Module 2: LLM to RAG to Agents

• Module 3: Vector Database

• Module 4: Tool Use

Drawings: Frontier AI

1. “Expert Choice” Mixture of Experts (MoE)

2. MHA, MQA, GQA, MoE-A: More Attention!

3. New GPT-OSS Trick to Ignore Tokens

4. MXFP4, FP4, FP8

5. LoRA, Fine-Tune, Pre-Train

6. QLoRA, DoRA, BitFit, NF4 vs INT4

7. KV Cache, Prefill, Decode

8. [Free Preview] EmbeddingGemma, MRL, InfoNCE, Embed vs. Decode

9. Inference Batching, Request-vs-Token Level

10. MLP Parallelism: Data, Context, Row, Column, Pipeline

11. RoPE vs PE in QKV Self-Attention

12. RMS, Group, Layer, Batch Norm, Tensor Parallelism

13. Qwen 3

Excel Blueprints: Frontier AI

• DeepSeek Attention (DSA)

• Einsum: Outer Product to GQA

• DeepSeek OCR

• ResNet, ViT, Qwen 3 Attention

• RLHF PPO

• Sharding

• [Free Preview] LinearLayer+LoRA Blueprint: PyTorch, BLAS, CUDA

Excel Blueprints: Essential AI Math

1. Softmax

2. Sigmoid

3. Negative Log-Likelihood

4. Double Sum

5. ReLU

6. Leaky ReLU

7. [Free Preview] Sinusoidal Positional Encoding

8. Batch Normalization

9. Layer Normalization

10. RMS Normalization

11. Cross Entropy Loss

12. L2 Norm

13. L2 Loss

14. Binary Cross Entropy Loss

15. KL Divergence

16. ELU (Exponential Linear Unit)

17. Swish (Sigmoid Linear Unit, SiLU)

18. GELU (Gaussian Error Linear Unit)

19. Tanh

Workbook: Matrix Multiplication

1. Calculate

2. Complexity

3. Shape

4. Identity

5. Scale

6. Shift

7. Combine Rows

8. Combine Columns

9. Not Commutative

10. Associative

11. Distributive

12. Chain

13. Transpose

14. Inverse

15. Linear Equations

16. Tiled Algorithm

Special Acknowledgement: Founding Members

Your early trust, support, and energy turned this New Year’s resolution into something real. I’m deeply grateful. You helped me move from an idea to a commitment—and from a commitment to action.

A.C. · A.G. · A.K. · A.N. · A.S. · A.Y. · B.H. · B.P. · B.S. · C.D. · C.J. · C.L. · C.M. · D.A. · D.F. · D.Q. · D.T. · E.A. · E.L. · E.R. · E.P. · F.G. · F.P. · G.C. · G.G. · G.K. · H.J. · H.S. · I.M. · J.A. · J.B. · J.C. · J.H. · J.K. · J.M. · J.O. · J.T. · J.W.L. · K.K. · K.L. · K.N. · K.R. · L.A. · L.D. · L.M. · L.R. · M.H. · M.H. · M.K. · M.M. · M.M. · M.P. · M.R. · M.W. · M.Z. · N.C. · N.E. · N.R. · O.K. · P.D. · P.P. · P.S. · P.S. · R.C. · R.M. · R.M. · R.P. · R.T. · S.A. · S.C. · S.G. · S.G. · S.L. · S.O. · S.P. · S.R. · S.T. · T.C. · T.D. · T.O. · U. · V. · V.L. · V.M. · V.N. · V.P. · V.R. · V.S. · W. · W.J. · X.Z. · Y.G. · Z.K. · Z.Z.

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