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Master context engineering techniques to improve AI agent reliability and performance through strategic prompting, reasoning, and tooling rather than relying on larger models.
Discover how mathematical foundations drive smarter agentic AI systems, from model selection to hybrid architectures and rigorous benchmarking for production-ready agents.
Discover rapid-fire insights from 9 leading AI engineers and founders sharing cutting-edge MLOps, GenAI systems, and production AI best practices in 5-minute lightning talks.
Discover how to detect, measure, and mitigate Agent Drift - the gradual performance degradation affecting AI agents in production through evolving data and shifting behaviors.
Discover how Continental built and deployed their first predictive ML model for tire performance forecasting, from proof of concept to production-ready system integrated with business tools.
Discover why traditional CI/CD fails for AI systems and learn the CC/CD framework for safely scaling autonomous AI products with continuous calibration and behavioral monitoring.
Explore how agentic video intelligence transforms AI systems to reason, plan, and execute sophisticated visual tasks autonomously, achieving 98% efficiency gains in real-world applications.
Discover how PayPal's Agent Name Service (ANS) creates a DNS-inspired trust layer for secure AI agent deployments on Kubernetes with GitOps, OPA, and Sigstore integrations.
Discover how to transform LLMs into production-ready agents with design principles, evaluation methods, and monitoring workflows for reliable business solutions.
Uncover hard-won lessons from 5 years building ML platforms at scale, including tool selection, drift detection myths, inference tradeoffs, and epic fails that shaped real-world MLOps success.
Master efficient fine-tuning and deployment of large vision models for production with hands-on techniques for data sampling, temporal augmentation, and adapter-based optimization.
Discover how to build autonomous AI agents from scratch, covering reasoning, reflection, tool integration, and reinforcement learning for production-ready systems that transform data into insights.
Master enterprise-grade agentic AI workflows with FloTorch's gateway, covering LLM integration, smart routing, governance, observability, and cost optimization for production deployment.
Discover how Shopify orchestrates specialized AI agents to manage millions of product taxonomies, scaling expert knowledge across domains through LLM-as-Judge systems and multi-agent workflows.
Discover context engineering and build your first end-to-end LLM application using AI-assisted development tools like Cursor and Claude CLI in this hands-on workshop.
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