Marcello PolitiinTowards Data ScienceMLOps — Hyperparameters Tuning with MLflow and Hydra SweepsLearn how to build an efficient pipeline with Hydra and MLflow·7 min read·Apr 25, 2024----
Marcello PolitiinTowards Data ScienceMlOps — A gentle introduction to Mlflow PipelinesOrchestrate your end-to-end machine learning lifecycle with MLflow·8 min read·Mar 13, 2024--4--4
Marcello PolitiinTowards Data ScienceA Practical Approach to Algorithm EfficiencyExploring Big O Notation, Runtime Efficiency, and Algorithmic Scalability·8 min read·Feb 16, 2024----
Marcello PolitiinTowards AIONNX Unleashed: Training and Optimizing BERT Models for Streamlit Web AppsLearn to quantize and deploy your Deep Learning model with ONNX·6 min read·Jan 30, 2024--1--1
Marcello PolitiinTowards Data ScienceDeploy Tiny-Llama on AWS EC2Learn how to deploy a real ML application using AWS and FastAPI·13 min read·Jan 12, 2024--3--3
Marcello PolitiinTowards Data ScienceA Simple CI/CD Setup for ML ProjectsApply best practices and learn to use GitHub Actions to build robust code·7 min read·Dec 20, 2023--8--8
Marcello PolitiinTowards Data ScienceDesign Patterns with Python for Machine Learning Engineers: PrototypeLearn how to use the Prototype design pattern to enhance your code·6 min read·Dec 5, 2023--3--3
Marcello PolitiinTowards AIRLHF Training Pipeline for LLMs Using Huggingface 🤗Learn how to develop your own domain-specific LLM with this Python hands-on guide·7 min read·Nov 26, 2023--1--1
Marcello PolitiinTowards AIServing a PyTorch Model with FastAPI and DockerLearn how to develop a complete Machine Learning Service·8 min read·Nov 17, 2023--3--3
Marcello PolitiinTowards AIAccording to Aristotle, Would ChatGPT Be Able to Think?Aristotle’s syllogisms and the logical capabilities of Large Language Models·8 min read·Oct 28, 2023--7--7