Introduction This will be just a quick little follow-up to the last post where we created a model and some saved data for returning recipes with similar ingredients. In this post, we'll create an endp...
Introduction to Unsupervised Learning Over the last few posts, we explored supervised learning—building labeled‑data pipelines, tuning models, and using supervised learning to be able to extract struc...
1. Introduction Can a compact, fine-tuned LLM outperform a lightweight supervised model at structured extraction—specifically, parsing recipes from noisy, real-world web pages? That’s the technical ch...
Speeding up the Training Loop When developing and evaluating different machine learning models, rapid iteration is key—especially as experiments shift from feature engineering to focused model evaluat...
In the previous post we built a simple model to extract recipe data from a web page. But when we ran it on an actual recipe, the results were pretty rough: it achieved just 65% accuracy, mislabeled so...