#api-cost-reduction
3 tagged items across reports, shorts, videos, and deep dives
Cut LLM Costs 90% With Prompt Golf
What if you could slash your LLM costs by 90% and get the same—or better—results? Prompt golf makes this possible, and the research behind it is staggering. This video breaks down the emerging discipline of prompt optimization where every token counts. We explore techniques like Chain of Draft, which cuts reasoning tokens by 92% with zero accuracy drop, and Microsoft's LLMLingua, achieving 20x compression with only 1.5% accuracy loss on math tasks. You'll learn why deleting characters can actually increase your token count, how system prompt caching saves 90% on input costs, and where the dangerous compression cliff lives (hint: past 10x, hallucinations accelerate fast). Key takeaways: - Chain of Draft: 92% token savings, no accuracy loss - LLMLingua: 20x compression, 1.5% accuracy drop - System prompt caching: 50-90% input cost reduction - Safe compression zone: 1-4x can improve performance - SecurityLingua: 100x cheaper than traditional guardrails - Real-world savings: GPT-4o from ~$100/mo to under $20/mo If you're spending on LLM APIs and not optimizing your prompts, you're leaving money on the table. Like this video if you learned something, subscribe for more AI research breakdowns, and comment below with your best token-saving trick. #PromptGolf #LLMOptimization #TokenEconomics #PromptEngineering #AICostSavings #ChainOfDraft #LLMLingua — Links — https://arxiv.org/abs/2502.18600 https://aclanthology.org/2023.emnlp-main.825/ https://www.llmlingua.com/ https://arxiv.org/abs/2505.00019 https://arxiv.org/abs/2505.04806 https://agent-zero.ai/ https://github.com/agent0ai/agent-zero a dumb drop by dumbfoundry
2026-05-05
92% Fewer Tokens: The Prompt Golf Revolution
What if you could slash your LLM costs by 90% and get the same—or better—results? Prompt golf makes this possible, and the research behind it is staggering.
2026-05-05