Next week, Superagentic AI is coming to ODSC West 2025 in San Francisco, our first major public appearance in the US since launching the company earlier this year. We’re travelling from London […]
Category: Prompt Optimization
Agentic Context Engineering: Prompting Strikes Back
Stanford university released paper on Agent Context Engineering (ACE) introduced structured framework to grow, refine and maintain context as living playbook that adapt itself with feedback. Everyone started talking about Context […]
Intelligent RAG Optimization with GEPA: Revolutionizing Knowledge Retrieval
The field of prompt optimization has witnessed a breakthrough with GEPA (Genetic Pareto), a novel approach that uses natural language reflection to optimize prompts for large language models. Based on the […]
GEPA DSPy Optimizer in SuperOptiX: Revolutionizing AI Agent Optimization Through Reflective Prompt Evolution
The landscape of AI agent optimization has fundamentally shifted with the introduction of GEPA as a DSPy optimizer. Unlike traditional optimization approaches that rely on trial-and-error or reinforcement learning, GEPA […]