Building AI Agents with LLMs and Custom ML Models: The Blueprint for Enterprise-Ready Autonomy

Introduction: The Rise of Hybrid AI Agents AI agents are rapidly emerging as the next abstraction layer for enterprise artificial intelligence. Rather than interacting with models directly, organizations are beginning to deploy systems that can perceive inputs, reason over context, and take action with limited human intervention. Large language models have accelerated this shift dramatically,... Continue Reading →

AI Governance and AI Observability in the Microsoft Stack: Building AI You Can Trust

Artificial intelligence has entered a phase where models are no longer the center of gravity, behaviors are. Weโ€™re deploying systems that reason, retrieve, act, and adapt in real time. They generate content, make decisions, and increasingly operate as semiโ€‘autonomous agents woven into everyday business processes. This shift has opened extraordinary opportunities, but it has also... Continue Reading →

In the world of large language models (LLMs), few topics generate more intrigueโ€”and complexityโ€”than memory. While we've seen astonishing leaps in capabilities from GPT-3 to GPT-4o and beyond, one crucial bottleneck remains: long-term memory. Todayโ€™s LLMs are incredibly good at reasoning over the contents of their prompt. But what happens when that prompt disappears? How... Continue Reading →

Embracing AI: Transforming Financial Services

The financial services industry is at the forefront of a technological revolution. Artificial Intelligence (AI) is more than just a buzzword; it offers unparalleled opportunities for financial institutions to innovate, streamline operations, and improve customer experiences. This blog post will discuss three compelling use cases for AI in financial services organizations. Before you start incorporating... Continue Reading →

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