TOON and TRON reduce token consumption by removing JSON's repetitive keys and delimiters, with TOON for tabular data and TRON for schema-stable agent flows.
Learn how to build a disability-aware AI assistant using IBM Granite LLM and retrieval-augmented generation with FastAPI backend and adaptive response generation.
Manual prompt engineering is dead; it is brittle, unscalable, and reliant on "magic strings." DSPy replaces this by treating prompts as optimizable parameters.
Learn about why Infrastructure as Code alone can't ensure reliability and how intent, policy, and feedback loops create self-correcting, resilient systems.
Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.
Power Automate automates data-driven alert emails, eliminating manual dashboard checks. With AI Builder, alerts become intelligent and provides proactive decision-making.
Learn how Microsoft Playwright CLI enables token-efficient, scalable browser automation for AI coding agents, improving performance and reducing costs.
Bridge the gap between Big Data and production ML. Learn to integrate Azure Databricks with Azure Machine Learning for a seamless, scalable end-to-end MLOps workflow.
Let us break down relational data silos with vector embeddings, unifying numerical, categorical, and natural-language fields into one semantic representation.
This explores AI agent failures with organizations deploying autonomous systems faster than their governance, monitoring, and security controls can safely support.