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Autonomous prompt optimization across bioinformatics topics

Investigate ChatGPT-based autonomous prompt optimization—where ChatGPT self-optimizes prompts to align with its latest model iteration—across bioinformatics tasks beyond gene relationship mining to determine its generalizability and effectiveness.

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Background

Frequent updates to ChatGPT can change behavior, which can degrade the effectiveness of previously tuned prompts. One proposed mitigation is to have ChatGPT autonomously optimize prompts to match the current model version.

Although this approach has shown promise in mining gene relationships, its applicability and performance across other bioinformatics domains remain largely untested, warranting broader investigation.

References

This strategy has shown promise in tasks such as mining gene relationships[45] but remains largely unexplored in other bioinformatics topics and therefore warrants further exploration to fully leverage ChatGPT's capabilities in the field.

— Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review (2403.15274 - Wang et al., 22 Mar 2024) in Section 9 (Discussion and Future Perspectives)