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Explore the fastest and most reliable approaches to deploying large language models for real-world business applications in this developer-focused conference talk from the MLOps World GenAI Summit 2025. Discover practical insights into LLM orchestration, agent frameworks, and designing effective AI agents that operate reliably in production environments. Learn the latest agentic AI architectures and frameworks informed by both cutting-edge research and real-world implementations, while gaining hands-on experience in constructing generative AI systems using modern agentic techniques. Master core design principles for building AI agents including reflection for self-evaluation, tool use for API integration, planning for task decomposition, and multi-agent collaboration strategies. Understand orchestration best practices for managing multi-step workflows and integrating multiple models into cohesive systems, along with automated evaluation methods for continuous agent improvement. Acquire practical strategies for improving agent performance through evaluation protocols, prompt engineering techniques, and latency reduction methods. Whether you're an AI engineer, developer, or technical leader, gain actionable tools and methodologies to overcome common challenges in building agentic systems for production environments, covering everything from architectural decisions to performance optimization in enterprise-scale deployments.
