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cs.AI2025
Representing Prompting Patterns with PDL: Compliance Agent Case Study
Mandana Vaziri, Louis Mandel, Yuji Watanabe +3
Prompt engineering for LLMs remains complex, with existing frameworks either hiding complexity behind restrictive APIs or providing inflexible canned patterns that resist customiza…
cs.LG2025★ 1 cited
AutoPDL: Automatic Prompt Optimization for LLM Agents
Claudio Spiess, Mandana Vaziri, Louis Mandel +1
The performance of large language models (LLMs) depends on how they are prompted, with choices spanning both the high-level prompting pattern (e.g., Zero-Shot, CoT, ReAct, ReWOO) a…