jxzhangjhu/Awesome-LLM-Prompt-Optimization
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
# Technical Summary Organizes 100+ peer-reviewed papers (post-2022) across nine categories spanning evolutionary algorithms (OPRO, Promptbreeder), gradient-free black-box optimization (APO, BPO), reinforcement learning (RLPrompt, TEMPERA), and declarative frameworks (DSPy). Covers both discrete prompt text optimization and continuous embedding tuning, with emphasis on methods requiring no model weight updates. Integrates with major LLM ecosystems (OpenAI, Hugging Face) and includes implementation repositories linked for reproducibility.
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