How to Solve Problems with Text Embeddings and ML (Dallas AI - Summer School 2025)

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AI Engineering Topic OpenAI Company OpenAI Embeddings Tool Semantic Search Topic Vector Search Technique AI Engineer Role Advanced Level Educators Audience Python Tool AI Project Use Case AI Applications Use Case Embeddings Topic Ideal Customer Analysis Use Case Embedding Model Model
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🤝 Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: https://aibuilder.academy/yt/bNmC_N4X1lk My session on solving problems with embeddings and ML from Dallas AI's 2025 Summer School. Here, I explain text embeddings and then use them to do an ideal customer avatar (ICA) analysis for my AI Builders Cohort. 💻 Code: https://github.com/ShawhinT/ica-analysis-dallasai References [1] https://youtu.be/sNa_uiqSlJo Intro - 0:00 The Problem with Text - 0:45 Text Embeddings - 1:27 LLMs vs Embeddings - 2:15 Example: Ideal Customer Avatar Analysis - 4:32 Results and Next Steps- 11:03 Q&A - 12:32

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

◆ Fri 13 Nov 2026 ◆ KOKO, London
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Makers residency 4th edition
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Makers residency 4th edition
Fri 13 Nov 2026
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