This LLM Agent Has a Temperature Problem
LLM agent systems ship with hardcoded configs chosen by vibes. GEPA closes the loop - agents generate traces, traces get evaluated, and the next run uses what actually worked.
Modern Development Blog
LLM agent systems ship with hardcoded configs chosen by vibes. GEPA closes the loop - agents generate traces, traces get evaluated, and the next run uses what actually worked.
Agentic memory is a technique used in AI agents that integrates long-term and short-term memory to enable persistence, allowing LLMs to store, retrieve, update, and summarize information across conversations, similar to human memory.
Multi-agent systems where different AI models critique each other's work. Sounds wasteful. Turns out it's the opposite.