15th August 2024
Examples are the #1 thing I recommend people use in their prompts because they work so well. The problem is that adding tons of examples increases your API costs and latency. Prompt caching fixes this. You can now add tons of examples to every prompt and create an alternative to a model finetuned on your task with basically zero cost/latency increase. […]
This works even better with smaller models. You can generate tons of examples (test case + solution) with 3.5 Sonnet and then use those examples to create a few-shot prompt for Haiku.
Recent articles
- Generating running routes with GPT-6 Astra and ChatGPT Work - 12th September 2026
- OpenAI agents attacked RubyGems back in May - 12th September 2026
- Some thoughts on the Navier–Stokes Millennium Prize Problem - 8th September 2026