Embedding is all you need: How LLMs are Transforming Search Dynamics in the Era of GenAI

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Amidst the impact of large language models, the fundamental drive to enhance search engines has shifted notably, transitioning from token-based searches to semantic searches. Embeddings are central to this transformation, which play a crucial role in contextualizing searches and facilitating text generation through few-shot transfer.

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Embedding is all you need: How LLMs are Transforming Search Dynamics in the Era of GenAI