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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