LLMs Tackle the Challenge of General-Purpose Diagnostic Apps
Published:Jan 4, 2026 01:14
•1 min read
•Qiita AI
Analysis
This article discusses the difficulties in creating a truly general-purpose diagnostic application, even with the aid of LLMs. It highlights the inherent complexities in abstracting diagnostic logic and the limitations of current LLM capabilities in handling nuanced diagnostic reasoning. The experience suggests that while LLMs offer potential, significant challenges remain in achieving true diagnostic generality.
Key Takeaways
- •The article discusses the challenges of creating a general-purpose diagnostic app using LLMs.
- •The author found that achieving true generality in diagnostic applications is more difficult than initially anticipated.
- •The project was based on experience from supporting a pre-startup company's Proof of Concept (PoC) in 2025.
Reference
“汎用化は想像以上に難しい と感じました。”