PrompTessor
Summary
PrompTessor is an AI prompt generator, optimizer, and library that helps users craft effective prompts.
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PromptMN is a domain-specific language that adds typed directives to natural language prompts to reduce ambiguity. It is evaluated on frontier models and shows feasibility for clearer human-AI interaction.
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
SePO (Self-Evolving Prompt Optimization) proposes a self-referential prompt agent that optimizes both task agents' system prompts and its own system prompt through an evolutionary search, outperforming Manual-CoT, TextGrad, and MetaSPO across five benchmarks including AIME'25, ARC-AGI-1, and GPQA.
Prompting fundamentals
OpenAI Academy guide on prompting fundamentals that teaches users how to write clear, effective prompts to get better responses from ChatGPT through techniques like being specific, adding context, specifying output format, and breaking down complex tasks.
APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection
APEX introduces a dynamic data selection strategy for automatic prompt optimization, stratifying datasets into easy, hard, and mixed tiers to improve data efficiency, achieving significant performance gains over initial prompts on multiple benchmarks.
@tom_doerr: Curated list of prompt engineering tools, papers, and courses https://github.com/promptslab/Awesome-Prompt-Engineering…
A curated list of prompt engineering resources including papers, tools, courses, and communities for working with large language models, maintained by PromptSlab.