785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring the Significance of Embeddings and Semantic Search in Machine Learning
This chapter emphasizes the critical role of embeddings in machine learning, especially within language models, by converting language into numerical data for tasks like classification and enhancing machine learning algorithms. It explores how embeddings link words to numerical sets, forming intricate word or text representations, as well as how they improve semantic search for more precise information retrieval in multi-dimensional spaces over keyword-based searches.
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