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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance
Open AI’s GPT-4 and GPT-3.5, Google’s Gemini, and Anthropic’s Claude have emerged as frontrunners, offering unique capabilities and potential medical education and practice applications. As of 2024, the AI landscape in health care has become increasingly diverse, with over 20 LLMs available for public use. Among them, 4 are the most promising.
Anthropic developed Claude, an AI assistant known for its strong natural language understanding and generation capabilities.
JMIR Med Educ 2025;11:e67244
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Using the prompt submission as shown in Figure 1 B, results were obtained twice (ie, test runs 1 and 2) each for GPT4-32 K, Claude-instant-100 K, and Claude-2-100 K. Each test run was independent of any other run. Completing these tasks took approximately 45 minutes of one researcher’s effort. The content analysis prompt we used for all 3 LLMs varied slightly between LLMs but was as shown in Figure 1 B (this example was used for GPT4).
JMIR Infodemiology 2024;4:e59641
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Claude 3 Opus, an advanced conversational AI model, has shown promising performance in various natural language processing tasks [4]. This study aims to fill that gap by comparing Claude 3 Opus and Chat GPT with GPT-4. Despite the potential of AI in health care, encompassing diagnosis, treatment, and public health initiatives, these technologies are largely underused in clinical practice [5].
JMIR Med Inform 2024;12:e59273
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