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Master AI agent evaluation using the Goal-Plan-Action framework and TruLens library to measure reliability, detect hallucinations, and improve tool usage through hands-on coding.
Explore how the Cleveland Museum of Art integrates AI, AR, and open access to enhance visitor engagement while maintaining ethical standards and mission focus.
Discover how to transform AI vision into orchestrated, observable, and governed systems that deliver measurable business results through strategic implementation and management.
Discover how Model Context Protocol (MCP) transforms AI agents by enabling dynamic contextual understanding and real-world task adaptation through live demos and practical examples.
Discover how to build enterprise RAG/LLM systems from scratch without GPUs or deep neural networks, featuring real-time fine-tuning, hierarchical chunking, and efficient UI design.
Discover how AI transforms product management through Minimum Viable AI concepts, avoiding AI washing, and building effective cross-functional collaboration with data science teams.
Discover how to transform raw data into structured, agent-ready context using knowledge graphs and contextual retrievers to build smarter, more trustworthy AI agents.
Discover how to scale AI agents safely in enterprise environments by encoding decision traces, workflow context, and organizational intelligence for true agent autonomy.
Explore practical differences between AI agents and workflows, when to use each approach, and how fine-tuning, evaluation, and tool design improve system reliability.
Discover how to build and deploy ADK agents with MCP servers on Cloud Run, transforming chatbots into powerful action-taking entities through standardized tool integration.
Explore how to integrate large language models and computer vision into enterprise workflows that are reliable, compliant, and fast enough for regulated industries.
Explore CodeRabbit's context-engineering architecture using MCP, LLMs, and open-source tools to deliver AI code reviews that detect race conditions, architectural issues, and bugs.
Discover systematic approaches to AI-assisted coding and learn productive engineering patterns to maximize efficiency beyond intuitive "vibe coding" methods.
Discover how to build sophisticated AI agents capable of handling complex, long-term tasks with practical architecture insights and implementation tips from Harrison Chase.
Discover how Dell AI Factory with NVIDIA empowers enterprises to overcome AI challenges like skill gaps and security, moving from experimentation to production-ready deployments.
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