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Retrieved on: 2024-09-26 16:49:09
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Summary
The article discusses the development of **TinyLLaVA-Med**, a small yet efficient Large Language Model (LLM) optimized for medical diagnostics. It highlights how fine-tuning and instruction-tuning on specialized datasets make these models valuable in low-resource settings. Tags like 'Large Language Models', 'Deep Learning', and 'Artificial Intelligence' connect to the concept and application of **LLMs**.
Article found on: www.hackster.io
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