SOTA AI Math Deep Dive for CTOs and Senior Engineers (Denver)

(Please email me to join the waitlist)

During the spring break, I will run a 4-hour in-person workshop for CTOs and Senior AI Engineers to take a deep dive into the state-of-the-art (SOTA) AI research at the "math" level, using the AI by Hand ✍️ method.

Price: $1000 / seat

Date: March 28 (Friday)

Time: 8-12pm

Location: University of Denver

Target Audience: CTOs and Senior Engineers

Sample Topics:

1. DeepSeek:
   1. Multi-Head Attention (MHA);
   2. Grouped Query Attention (GQA);
   3. Multi-Head Latent Attention (MLA);
   4. Native Sparse Attention (MSA);
   5. Positional-Wise Feed-Forward Network;
   6. Mixture of Experts;
   7. Sparse Mixture of Experts.
2. Scaling:
   1. Tiled Matrix Multiplication;
   2. Systolic Array;
   3. Flash Attention;
   4. BatchNorm;
   5. LayerNorm;
   6. RMSNorm;
   7. Low-Rank Adaptation (LoRA);
   8. Rotary Positional Embedding (RoPE).

... more.

If you have already studied these topics, congratulations! I am very impressed! You have my respect.

If you have been wanting to study these topics but too busy, it's the best opportunity to study with me and other like-minded AI tech leaders.

Email me tom@byhand.ai or tom.yeh@colorado.edu if you have any questions!