

🦄 ai that works: Implementing Decaying-Resolution Memory
🦄 ai that works
A weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy
https://www.github.com/hellovai/ai-that-works
Last week on #13, we did a conceptual deep dive on context engineering and memory - this week, we're going to jump right into the weeds and implement a version of Decaying-Resolution Memory that you can pick up and apply to your AI Agents today. For this episode, you'll probably want to check out episode #13 in the session listing to get caught up on DRM and why its worth building from scratch.
Pre-reading
To prevent repeating the basics, we recommend you come in having already understanding some of the tooling we will be using:
Discord
Cursor (A vscode replacement)
Programming languages
Application Logic: Python or Typescript or Go
Prompting: BAML (recommend video)
Meet the Speaker 🧑💻
Meet Vaibhav Gupta, one of the creators of BAML and YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D. E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision!
Meet Dex Horothy, founder at Human Layer - a YC company. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.