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In this video from Berklee Online’s AI in Music: Composition, Production, and Analysis course, instructor Dr. Carlos Arana teaches you how Large Language Models (LLM) use embeddings to transform language into mathematical representations of meaning. Dr. Arana explains that embeddings are numerical vectors that represent words within a high-dimensional space, capturing both meaning and context. He describes how these vectors are organized through semantic clustering, where words with similar meanings or usage patterns appear close together, while function words form separate groupings based on their grammatical roles. The lesson also highlights how terms from different domains can overlap in meaning, placing them near each other in the embedding space. Finally, Dr. Arana shows how sequences of embeddings form trajectories that represent entire sentences, with their shape reflecting both structure and meaning. He also introduces how attention mechanisms help LLMs process these sequences, allowing them to maintain context and generate coherent responses.
Learn more about this course: https://berkonl.in/4veg8AG
ABOUT CARLOS ARANA:
Carlos Arana is a guitarist, producer, and researcher whose work bridges Latin American music traditions and emerging technologies such as machine learning and artificial intelligence. As a guitarist, arranger, and musical director, he has worked and recorded with artists from around the world, including legendary bossa nova singer Maria Creuza, whose band he was a member of. Arana is also a leading voice in the application of AI to music. He has the written Berklee Online courses AI in Music: Composition, Production, and Analysis and AI for Music and Audio. Dr. Arana holds a PhD from the University of Buenos Aires (UBA-UNLZ), where his research focused on deep learning and generative neural networks in music education. His work spans signal processing, music information retrieval, and generative systems, with a focus on helping musicians understand and engage critically with rapidly evolving technologies. In addition to his academic and creative work, Dr. Arana has edited books for Hal Leonard and Warner Bros. Publications (Alfred), and has been invited to speak at conferences and seminars at institutions such as MIT and UC Berkeley.
About Berklee Online:
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AI in Music | Artificial Intelligence | Dr. Carlos Arana | Maria Creuza | Embedding Space | Large Language Models | LLMs | Vectors | Vector Representations | Semantic Clustering | Domain Overlap | Neutral Clusters | Word Embeddings | Semantic Embedding Space | Natural Language Processing | AI Language Models | Attention Mechanism | Contextual Language Understanding | Machine Learning in Language