Sabrina Aquino
About Sabrina Aquino
Sabrina Aquino is an author known for her contributions to the understanding of AI and data science, particularly through her articles on topics like Retrieval-Augmented Generation and Vector Embeddings.
Sabrina Aquino Author
Sabrina Aquino is an accomplished author known for her contributions in the field of technology and artificial intelligence. She has published insightful articles on complex topics, focusing on making advanced concepts accessible to a broader audience. Her writing sheds light on the intricate workings of modern technological innovations.
What is RAG: Understanding Retrieval-Augmented Generation by Sabrina Aquino
Sabrina Aquino authored an article titled 'What is RAG: Understanding Retrieval-Augmented Generation' published on March 19, 2024. This piece explores the concept of Retrieval-Augmented Generation (RAG), delving into its significance and application in the realm of AI and machine learning. The article is a valuable resource for readers seeking to comprehend how RAG enhances information retrieval and data synthesis processes.
What are Vector Embeddings by Sabrina Aquino
Sabrina Aquino's article 'What are Vector Embeddings?' was published on February 6, 2024. In this work, she discusses vector embeddings, a fundamental concept in machine learning and natural language processing. The article explains how vector embeddings represent data in a multi-dimensional space, enabling more effective and nuanced data analysis and interpretation.
What is a Vector Database by Sabrina Aquino
On January 25, 2024, Sabrina Aquino published an article titled 'What is a Vector Database?'. This article provides an in-depth examination of vector databases, elucidating their role in managing and querying large sets of vector data. Aquino's clear explanations help readers understand the practical applications and benefits of using vector databases in various technological contexts.