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M. D. da Silva

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Efficiency Analysis of Fine-Tuning Compact Language Models for Biomedical Information Retrieval Systems

This paper investigates the effectiveness of specializing ultra-compact language models for clinical embedding generation, utilizing the EmbeddingGemma 300M as the base model, and demonstrates the feasibility of performing fine-tuning on entry-level hardware.

M. D. da Silva · 0 citations