As we see it… AI presents the most significant transformation we will witness in our lifetime and potentially all of human history. Every company is
If you’re as passionate about AI as I am—and trust me, that means you’re always on the lookout for fresh perspectives—then you’re in the right
You’ve poured your heart into building that groundbreaking ML model. Months of sweat, countless sleepless nights. But here’s the truth: without MLOps, it’s doomed to
If you’re here, you’re probably wondering whether Amazon Q Developer is worth your time—and I get it. With so many AI coding assistants on the
AI chatbots are transforming how we interact with technology, ensuring their reliability and accuracy has never been more critical. Retrieval-Augmented Generation (RAG) systems combine the
It’s not a matter of if generative AI will impact your industry, it’s a matter of how large the impact will be. McKinsey found that
In the rush to deploy Large Language Models (LLMs), companies often focus on the glamorous parts—the impressive capabilities, the transformative potential, and the competitive edge.
The process of integrating a Large Language Model (LLM) into your business is overwhelming, especially if this is your first time attempting it. While the
Large language models (LLMs) are the unsung heroes of recent Generative AI advancements, quietly working behind the scenes to understand and generate language as we
This article breaks down the exact process I’ve used to select, modify, and apply small language models to dozens of use cases in my work.
