MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
A guide to eight AI agent types with implementations, real-world use cases, and selection framework. Learn about LCM, HRM, LAM, SLM, VLM, LRM, MOE, and GPT architectures.
Active Directory is the heartbeat of the enterprise, and a favorite target of attackers. Here is an architectural pattern for AI-driven anomaly detection and remediation.
Enterprise RAG pipelines hallucinate because knowledge is still trapped in PDFs and long pages. This tutorial shows engineers how to chunk, embed, and continuously refresh data so LLMs can reliably reason over it — plus the new observability metrics every 2025 team needs.
Learn the three production-proven Modern RAG architectures Basic, Agentic, and Multi-Agent RAG and how to choose the right one based on cost, complexity, and scale.
Your RAG PoC shows potential; context engineering unlocks real performance by shaping data, policies, memory, and tone so you can scale your prototype.
In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.
AI Browser (Altas) is an open-source Electron app that lets you control a browser with natural language to automate tasks, scrape data, and monitor sites.
Prompt-to-prototype multimodal agents fast; validate voice and text flows, trust/recovery, and multi-agent orchestration early to cut rework for dev teams.
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