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In this video I explain the concept of text embeddings, a essential tool for large language models (LLM) and other modern generative AI models. We'll learn how text can be represented as numerical vectors using different methods. Understanding word embeddings, you gain valuable insights into natural language processing and how AI models interpret text.
🔑 TIMESTAMPS
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0:00 - What are word embeddings?
0:55 - Frequency-based methods
4:26 - Embeddings
8:56 - What is embedding space?
10:39 - How are embedding created?
16:28 - How to use pre-trained embedding models
#deeplearning #ai #datascience #ThuVu
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