𝗦𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗟𝗟𝗠𝘀
Test data is hard to find. It is often sensitive. LLMs solve this. They create realistic data. This protects privacy and lowers cost.
Follow these steps:
- Define your goals.
- Build a simple version first.
- Test edge cases and failure paths.
- Monitor performance in production.
Avoid these mistakes:
- Over-engineering the solution.
- Building for scale you do not need.
- Ignoring technical debt.
Follow these rules:
- Keep it simple. Complexity kills speed.
- Measure first. Use data to find bottlenecks.
- Use tools your team knows.
Your action plan:
- This week: Find your biggest gap.
- This month: Fix one problem.
- This quarter: Review the results.