Tag: #MLOps

Unlock the Power of Small: Fine-Tuning Gemma 3 270M (A Business Perspective)

We’re all familiar with the massive, powerful language models that run on vast server farms. What if the next big breakthrough in AI isn’t about being bigger, but smaller?

Over the weekend I fine-tuned Gemma 3 (270M) end-to-end—LoRA → merge → GGUF → Ollama and ran it locally. It wasn’t perfect (tbh, it was more of a learning exerciser to understand the process), but it was fast, inexpensive, and genuinely useful for narrow, domain-specific tasks. Here’s what tiny models are, why they matter to business, and how to get started without boiling the ocean.

Existing Skills, New Frontier: How Ops Pros Will Thrive in the Age of AI

The headlines are buzzing with Machine Learning (ML) and Generative AI (GenAI), and it’s easy to think you need a whole new toolkit to stay relevant. While these technologies are transformative, the good news is that many of your existing skills in technology operations are not just relevant, they’re crucial. The game is changing, but the foundations you’ve built are more important than ever. Let’s explore how.