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Ü. Çiftçi edited this page Apr 13, 2026 · 7 revisions


rtk - High-performance CLI proxy that reduces LLM token consumption by 60-90%
https://github.com/rtk-ai/rtk


caveman - why use many token when few do trick
https://github.com/JuliusBrussee/caveman


Prompting best practices - Claude
https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-4-best-practices#long-horizon-reasoning-and-state-tracking


Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
https://github.com/CHATS-lab/verbalized-sampling


Prompt optimization can enable AI control
https://www.lesswrong.com/posts/bALBxf3yGGx4bvvem/prompt-optimization-can-enable-ai-control-research


PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation
https://eliyahabba.github.io/PromptSuite/


Prompt Orchestration Markup Language
https://arxiv.org/abs/2508.13948


GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
https://arxiv.org/abs/2507.19457


Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
https://arxiv.org/abs/2508.01191


Prompting 101
https://youtu.be/ysPbXH0LpIE


Prompt optimization can enable AI control research
https://www.lesswrong.com/posts/bALBxf3yGGx4bvvem/prompt-optimization-can-enable-ai-control-research

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