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 →

January 21, 2026 0

The Transformer Architecture: Foundations, Engineering Trade-Offs, and Real-World Deployment at Scale

I know that many resources explain this architecture, including the pivotal paper Attention Is All You Need. I wanted to write this to cement the concepts in my mind. This architecture is what is driving the current AI revolution, so it is essential to have a good grasp of the ideas. Since its introduction in... Continue Reading →

January 16, 2026 0

In the world of large language models (LLMs), few topics generate more intrigue—and complexity—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. Today’s LLMs are incredibly good at reasoning over the contents of their prompt. But what happens when that prompt disappears? How... Continue Reading →

August 3, 2025 1

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