Hallucination by Design: How Embedding Models Misunderstand Language
SMRTR summary
Text embeddings, a technique for converting words and sentences into numerical vectors, are widely used in modern NLP systems. However, they have significant flaws, including inability to distinguish capitalization, numbers, negations, and spatial references. These issues can lead to serious errors in applications across healthcare, finance, e-commerce, and other industries.
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