Tag: prompt engineering
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Behavioral Differentiation in Multi-Agent LLM Systems
Explore how multi-agent LLMs show diverse behaviors without role assignment, influenced by group dynamics, naming, and prompt scaffolding.
How Brevity Boosts Large Language Model Performance
Discover how brevity constraints improve accuracy and reverse performance gaps in large language models through scale-aware prompt design.
Gender Bias in ChatGPT Hiring: Study & Solutions
Explore how ChatGPT exhibits gender bias in hiring and how prompt engineering can help reduce these biases for fairer AI-driven recruitment.
AgentFixer: Enhance LLM Reliability with Failure Detection
Discover how AgentFixer improves LLM systems by detecting failures and recommending fixes to boost reliability and performance in AI applications.
Optimizing LLMs for Political Text Annotation: Key Insights
Discover how methodological choices impact LLM-based political text annotation and learn best practices for reliable, reproducible results.