Text Embeddings, Classification, and Semantic Search (w/ Python Code) скачать в хорошем качестве

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

📈 Transform Your Business with AI: https://aibuilder.academy/yt/sNa_uiqSlJo 🤓 Get the (free) Claude Code Course: https://aibuilder.academy/courses/yt/... 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