Marcello Politi

Photo by Simon Wiedensohler on Unsplash Quickly set up LLM APIs with BentoML and Runpod Marcello Politi · Follow Published in Towards Data Science · 6 min read · 2 hours ago — Introduction I often see data scientists getting interested in the development of LLMs in terms of model architecture, training techniques or data collection. However, I have noticed that many times, outside the theoretical aspect, in many people have problems in serving these

Photo by Michael Dziedzic on Unsplash Run deterministic and non-deterministic tests to validate your dataset Marcello Politi · Follow Published in Towards Data Science · 9 min read · 7 hours ago — Introduction In an MLOps pipeline where we try to automate as many steps as possible, keeping in mind the goal of minimizing the number of errors that direct intervention by a programmer might cause, it is also important to take care of

Photo by Leo_Visions on Unsplash Learn how to build an efficient pipeline with Hydra and MLflow Marcello Politi · Follow Published in Towards Data Science · 7 min read · 6 hours ago — Introduction When we develop Machine Learning models, we usually need to run lots of experiments to figure out which hyperparameter setting is best for a given algorithm. This can often lead to dirty code and losing track of which result…