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Discover how Azure AI Evaluation SDK's Red Teaming Agent proactively uncovers AI vulnerabilities through adversarial testing, ensuring robust and ethical autonomous agents.
Discover benchmarking results from hundreds of LLM inference runs across models, frameworks, and hardware to optimize your self-hosted deployment decisions.
Explore the future of RAG technology, comparing it with finetuning and long-context approaches, while uncovering current challenges and tomorrow's AI-driven solutions.
Discover how to build intelligent AI agents with sophisticated memory systems inspired by human cognition, covering implementation patterns, vector databases, and production-ready strategies.
Explore advanced AI-powered search techniques including hybrid search, reranking, query decomposition, and fine-tuned embeddings with MongoDB's Frank Liu.
Discover how ontologies provide the perfect middle ground between rigid workflows and chaotic LLM behavior, bringing structure and semantics to GenAI applications through practical examples.
Discover GraphRAG techniques for optimizing LLM context windows in retrieval systems with Microsoft's Senior Principal Data Architect Jonathan Larson.
Discover how GraphRAG simplifies agentic workflows by mapping information into knowledge graphs, improving retrieval quality across structured and unstructured data with practical examples.
Master the engineering behind AI product pricing systems that scale with your stack and support real-world monetization from metering to enterprise contracts.
Discover how to build AI-maintained semantic data layers that dramatically improve reliability of conversational analytics, RAG systems, and agentic AI workflows beyond traditional approaches.
Discover why event-driven architecture creates complexities in AI agent systems and how durable execution provides a superior abstraction for building distributed AI agents.
Discover how to replace manual prompt crafting with automated, test-driven approaches using output evaluators and agent iteration for optimal AI performance without hand-tuning.
Explore how Windsurf AI IDE achieves context awareness by balancing retrieval quality with latency constraints while scaling across massive codebases for predictive coding.
Discover how Windsurf's agentic IDE enhances engineering flow beyond basic AI assistance, enabling complex problem-solving and automated workflows for experienced developers.
Discover how to transform MCP servers from demos into production-ready enterprise solutions with authentication, permissions, security, SSO, audit logs, and agent oversight.
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