Text Embeddings, Classification, and Semantic Search (w/ Python Code)

Опубликовано: 13 Март 2026
на канале: Shaw Talebi
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In this video, I introduce text embeddings and describe how we can use them for 2 simple yet high-value use cases: text classification and semantic search.

More Resources:
🎥 RAG:    • How to Improve LLMs with RAG (Overview + P...  
📰 Read more: https://medium.com/towards-data-scien...
💻 GitHub: https://github.com/ShawhinT/YouTube-B...

▶️ Series Playlist:    • Large Language Models (LLMs)  

[1]    • What Are Word and Sentence Embeddings?  
[2] R. Patil, S. Boit, V. Gudivada and J. Nandigam, “A Survey of Text Representation and Embedding Techniques in NLP,” in IEEE Access, vol. 11, pp. 36120–36146, 2023, doi: 10.1109/ACCESS.2023.3266377.
[3] https://owasp.org/www-project-top-10-...

Intro - 0:00
Problem: Text isn't computable - 0:42
Text Embeddings - 1:42
Why should I care? - 3:15
Use Case 1: Text Classification - 5:49
Use Case 2: Semantic Search - 12:40
Free gift for watching: 23:50