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In this video, I introduce text embeddings and describe how we can use them for 2 simple yet highvalue use cases: text classification and semantic search.

More Resources:
RAG:    • How to Improve LLMs with RAG (Overvie...  
Read more: https://medium.com/towardsdatascien...
GitHub: https://github.com/ShawhinT/YouTubeB...

▶ 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/wwwprojecttop10...


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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