If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns.
Let's break it down.
🔹 Reflection
You give the agent an input.
The agent then "reflects" on its output, and based on feedback, improves and refines.
Ideal GPU for Applied ML
Those of y'all who have worked with GPU's for LLMs (either inhouse or servers), based on your experience what is the ideal specs that is needed?
Open to suggestions as well, thank you 🥹🙇🏻♂️