WetHat💦<p>Embedding Models Misunderstand Language:<br>➡️ Text embeddings have blind spots, like capitalization misunderstandings, numerical inaccuracies, inability to detect negations, and confusion with ranges.<br>➡️Industry stories show dramatic consequences.<br>➡️ A hybrid approach—combining embedding models with rule-based methods and domain-specific classifiers—proves more reliable.</p><p><a href="https://hackernoon.com/hallucination-by-design-how-embedding-models-misunderstand-language?source=rss" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackernoon.com/hallucination-b</span><span class="invisible">y-design-how-embedding-models-misunderstand-language?source=rss</span></a></p><p><a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/TextEmbeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TextEmbeddings</span></a> <a href="https://fosstodon.org/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://fosstodon.org/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a></p>