<ul><li>Vectorization is the process of converting textual data into numerical representations (vectors) for efficient processing by machine learning models.</li><li>In the world of Generative AI, models like GPT-4 and LLaMA rely on vectorization to answer domain-specific questions and retrieve information from external sources.</li><li>Vectorization enables fast retrieval and similarity matching, allowing AI models to search and generate responses based on augmented knowledge bases.</li><li>Traditional methods of string matching are limited, necessitating the use of transformer-based embeddings for effective text search and comparison.</li></ul>

Understanding Vectorization for Knowledge Bases in GenAI

Discover more