Latest Posts:
DSPy MIPROv2 Configuration Guide
This tutorial breaks down the 5-step MIPROv2 optimization process, from demo set selection to final program selection. Perfect for engineers who want to understand how to tune MIPROv2 parameters effectively.
DSPy MIPROv2 Parameters Guide
Comprehensive reference tables to all MIPROv2 constructor and compile method parameters. Includes detailed descriptions, types, defaults, and usage examples for fine-tuning the optimizer’s behavior.
COPRO Tutorial
Learn about the DSPy COPRO optimizer and how to observe its optimization runs with LangWatch.
Welcome to Agent Notes:
🚀 This is my personal space for exploring the world of training AI agents.
While exploring AI development, I often stumble upon tips and insights from others on platforms like X that I find really useful. This is the place to capture some of these bits of knowledge here, giving credit where it’s due, and keep track of what I’ve learned and to share it with anyone who is curious.
To get started, I’ve written a few tutorials that explain ins and outs of optimizing agents. These are focused on DSPy, and I’m excited to keep adding more content as I learn and grow.
Beyond tutorials, I will be adding other things I come across: little hacks that worked for me or thoughts on training AI agents. Right now, I’m focused on software, but I can imagine this space someday touching on topics like training robotics as I anticipate that will become a growing discipline.
Whether you’re just starting out or have been at this for a while, I hope what you find here valuable. 🌟
If you would like to get in touch please reach out on socials Linkedin or X.