🤝 Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: https://aibuilder.academy/yt/6qCrvlHRhcM
This is the 4th video in a series on Full Stack Data Science. Here, I explain why experimentation is critical to the ML lifecycle and walk through the development of a semantic search tool for my YouTube videos.
More Resources:
💻 Example Code: https://github.com/ShawhinT/YouTube-Blog/tree/main/full-stack-data-science/data-science
🤖 RAG: https://youtu.be/Ylz779Op9Pw
📚Text Embeddings: https://youtu.be/sNa_uiqSlJo
References:
[1] https://karpathy.medium.com/software-2-0-a64152b37c35
[2] https://arxiv.org/abs/2012.07919
Introduction - 0:00
Why ML is Different - 0:39
Role of Experimentation - 3:04
Semantic Search (Design Choices) - 5:09
Example Code: Semantic Search of YT Videos - 8:17
Preview of Final Product - 10:06
Step 1: Experimentation & Evaluation - 11:17
Step 2: Build Video Index - 34:14
Step 3: Build UI - 35:49
What's Next? - 43:43
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AI Maker Residence 3
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code.
Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
◆ Fri 09 Oct 2026◆ KOKO Cafe, London◆ With Nick Sarafa
