AI Agents at Scale
AI Agents
Machine Learning
Large Language Models
Artificial Intelligence
Discover how to build flexible, scalable AI agents in Rails through modular components
that adapt to the evolving AI landscape. Learn practical patterns for abstracting model
providers, implementing flow-based architectures, building flexible tools, and managing
prompts. We'll explore how to handle divergent LLM provider features, plus key AI
learnings: evaluation strategies for large applications, deciding between agents vs tools
(A2A/MCP), and choosing between fine-tuning vs prompt engineering. Perfect for
developers integrating AI or scaling existing implementations.
that adapt to the evolving AI landscape. Learn practical patterns for abstracting model
providers, implementing flow-based architectures, building flexible tools, and managing
prompts. We'll explore how to handle divergent LLM provider features, plus key AI
learnings: evaluation strategies for large applications, deciding between agents vs tools
(A2A/MCP), and choosing between fine-tuning vs prompt engineering. Perfect for
developers integrating AI or scaling existing implementations.
Sep 05 - 15:45 to 16:15
Track 1 - Effectenbeurs