Tips and Code for Empirical Research Workflows — LessWrong
Our research is centered on empirical research with LLMs. If you are conducting similar research, these tips and tools may help streamline your workf…
x Tips and Code for Empirical Research Workflows — LessWrong AI Practical Frontpage 2025 Top Fifty: 13 % 110 Tips and Code for Empirical Research Workflows by John Hughes , Ethan Perez 20th Jan 2025 AI Alignment Forum 23 min read 17 110 Ω 43 Our research is centered on empirical research with LLMs. If you are conducting similar research, these tips and tools may help streamline your workflow and increase experiment velocity. We are also releasing two repositories to promote sharing more tooling within the AI safety community. John Hughes is an independent alignment researcher working with Etha
Explore this link on the map →related reading
- Tips and Code for Empirical Research Workflows — AI Alignment Forumalignmentforum.org
- Tips and Code for Empirical Research Workflows — LessWronglesswrong.com
- Tips for Empirical Alignment Research — AI Alignment Forumalignmentforum.org
- How to Land a Frontier Lab Jobvladfeinberg.com
- Sara Fish • LLM Evals Research Advicesara-fish.github.io
- Sara Fish • LLM Evals Research Advicesarafish.com
- Here’s how I use LLMs to help me write codesimonwillison.net
- LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
- 2025: The year in LLMssimonwillison.net
- How We Use Claude Code Skills to Run 1,000+ ML Experiments a Dayhuggingface.co
- crawshaw - 2025-01-06crawshaw.io
- Composer2.pdfcursor.com