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

👉 Need help with AI? Reach out: https://shawhintalebi.com/ 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: 👉 Series Playlist:    • Large Language Models (LLMs)   🎥 RAG:    • How to Improve LLMs with RAG (Overvie...   📰 Read more: https://medium.com/towards-data-scien... 💻 GitHub: https://github.com/ShawhinT/YouTube-B... [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-... -- Book a call: https://calendly.com/shawhintalebi Socials   / shawhin     / shawhintalebi     / shawhint     / shawhintalebi   The Data Entrepreneurs 🎥 YouTube:    / @thedataentrepreneurs   👉 Discord:   / discord   📰 Medium:   / the-data   📅 Events: https://lu.ma/tde 🗞️ Newsletter: https://the-data-entrepreneurs.ck.pag... Support ❤️ https://www.buymeacoffee.com/shawhint 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