Boost LLM Performance: Prompt Chaining Solves Instruction Following Issues

research#llm📝 Blog|Analyzed: Feb 20, 2026 13:45
Published: Feb 20, 2026 12:06
1 min read
Zenn AI

Analysis

This article highlights an innovative solution to improve the reliability of Large Language Models (LLMs). By splitting prompts into distinct tasks using prompt chaining, the approach ensures that instructions, especially those related to formatting and style, are consistently followed. This method represents a practical advancement in prompt engineering, leading to more predictable and accurate outputs.
Reference / Citation
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"By going through Step 2, the consistency of the style and the expansion of the abbreviation came to be observed."
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Zenn AIFeb 20, 2026 12:06
* Cited for critical analysis under Article 32.