{ "item_title" : "Optimizing Retrieval", "item_author" : [" Jr. Oliver Lucas "], "item_description" : "Optimizing Retrieval: From Tokenization to Vector QuantizationThis book provides a deep dive into the core techniques that underpin modern information retrieval systems. It guides readers through the crucial steps, starting with the fundamental process of tokenization - breaking down text into meaningful units. From there, the book explores how these tokens are transformed into numerical representations, a critical step for efficient processing.The core of the book lies in vector quantization, a powerful technique that compresses and represents high-dimensional data (like text) into lower-dimensional spaces while preserving essential information. This enables faster search, reduced storage requirements, and improved retrieval accuracy.1Key Topics Covered: Tokenization Strategies: Exploring various approaches, including word-level, subword-level (like byte-pair encoding), and character-level tokenization.Text Embedding Techniques: Delving into methods like Word2Vec, GloVe, and more recently, Transformer-based models like BERT, which capture semantic relationships between words.2Vector Quantization Algorithms: Examining different approaches, such as k-means, product quantization, and hierarchical vector quantization, and their applications in information retrieval.Retrieval Models: Exploring how vector quantization is integrated into various retrieval models, including nearest neighbor search, approximate nearest neighbor search, and retrieval augmented generation.Practical Applications: Discussing real-world applications of these techniques, such as search engines, recommendation systems, and question answering systems.Optimizing Retrieval: From Tokenization to Vector Quantization is a valuable resource for researchers, practitioners, and students interested in the cutting-edge techniques driving advancements in information retrieval. It provides a comprehensive understanding of the key concepts and their practical implications, empowering readers to build and optimize high-performance retrieval systems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/830/686/9798306867977_b.jpg", "price_data" : { "retail_price" : "15.89", "online_price" : "15.89", "our_price" : "15.89", "club_price" : "15.89", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details