Understanding Vectorization
Vectorization transforms various types of data, such as text and images, into compressed numerical representations, enabling more efficient searching and analysis. This process allows for semantic search, where the meaning behind the data is prioritized over mere keywords, facilitating connections between documents. Additionally, it plays a crucial role in applications like image similarity and object detection, enhancing how large language models interact with data beyond their original training.In this clip
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