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Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Finally, we compared the performance of Grit LM-7 B embeddings with other state-of-the-art methods for generating sentence embeddings, specifically Open AI’s text-embedding-3-small [13] and Sentence-Bidirectional Encoder Representations from Transformers (S-BERT) [14]. Across all evaluation metrics, the classifier using Grit LM-7 B embeddings outperformed those using Open AI and S-BERT embeddings (Table 4).

Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

JMIR AI 2025;4:e67369

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