Lately it feels like the world of AI moves so fast that if you blink, you miss an entire generation of breakthroughs. As someone who loves digging into emerging technologies, I finally gathered the…
Transformers are changing the AI landscape, and it all began with the groundbreaking paper “Attention is All You Need.” Today, I explore the Introduction and Background sections of the paper,…
Today marks the beginning of my adventure into one of the most groundbreaking papers in AI for transformer: “Attention is All You Need” by Vaswani et al. If you’ve ever been curious about how modern…
On December 20, 2024, OpenAI concluded its 12-day “OpenAI Christmas Gifts” campaign by revealing two groundbreaking models: o3 and o3 mini. At the same time, the ARC Prize organization announced…
Ray Serve is a cutting-edge model serving library built on the Ray framework, designed to simplify and scale AI model deployment. Whether you’re chaining models in sequence, running them in parallel,…
Fine-tuning is a key process in AI training, where a pre-trained model is further trained on specific data to specialize in a particular task or domain.
Today’s topic might seem a bit technical, but don’t worry—we’re keeping it down-to-earth.
This was covered in a previous issue: What Are Parameters? Why Are “Bigger” Models Often “Smarter”?