When building a tool, it’s easy to forget how much you’ve internalized: how much knowledge and context you’ve assumed. Your tool can feel familiar or even obvious to you while being utterly foreign to everyone else. If your goal is for other people to use the darn thing — meaning you’re not just building for yourself, or tinkering for its own sake (which are totally valid reasons) — you gotta help people use it! It doesn’t matter what’s possible or what you intended; all that matters is whether people actually succeed in practice.
Recent articles
- Understanding GPT tokenizers - 8th June 2023
- Weeknotes: Parquet in Datasette Lite, various talks, more LLM hacking - 4th June 2023
- It's infuriatingly hard to understand how closed models train on their input - 4th June 2023
- ChatGPT should include inline tips - 30th May 2023
- Lawyer cites fake cases invented by ChatGPT, judge is not amused - 27th May 2023
- llm, ttok and strip-tags - CLI tools for working with ChatGPT and other LLMs - 18th May 2023