Facundo SantiagoThe era of no-so-large language modelsThe field of LLM is being challenged by a trend of smaller models that outperform mid size models, lowering the entry barrier for…Nov 29, 2023Nov 29, 2023
Facundo SantiagoEffortless model deployment with MLflow — Stratified models (many models) for forecastingHow to package many models or partitioned models into a single MLflow entity that you can seamlessly deploy to produce predictions.Jul 7, 2023Jul 7, 2023
Facundo SantiagoEnglish is the most powerful programing language — even for data science: Introduction to prompt…What prompt engineering is, which are the steps involved in it, and how it changes the way we solve problems with ML.May 8, 2023May 8, 2023
Facundo SantiagoIt wasn’t Magic. How NLP went from Text Mining to the Era of Large Language Models.Let's travel across time and review the major shifts in the NLP field. From text mining to neural models, and all the way to the current…Apr 8, 2023Apr 8, 2023
Facundo SantiagoModel Evaluation, Monitoring, and Error Analysis in Machine Learning. Is it all the same?A gentle introduction to what model evaluation means in the ML development lifecycle, the requirements to implement it, and how to avoid…Mar 20, 2023Mar 20, 2023
Facundo SantiagoMLOps: Say hello to Continuous Training (CT)How to expand the CI/CD concepts to Machine Learning projects by adding Continous Training (CT) in your MLOps pipelines (a real example).Jul 31, 2022Jul 31, 2022
Facundo SantiagoModel interpretability — Making your model confesses: Saliency mapsHow to interpret NLP models using Saliency Maps: an example with transformers.Jun 8, 20222Jun 8, 20222
Facundo SantiagoLoading NLP HuggingFace models into AllenNLP frameworkHow to take advantage of the transformers library in HuggingFace and extend its functionality using AllenNLPJun 8, 2022Jun 8, 2022
Facundo SantiagoJupyter Notebooks are the devil: Not really!A practical guide about how to use Jupyter Notebook in a Machine Learning project without giving up good software development practicesMay 16, 2022May 16, 2022
Facundo SantiagoStructure your Machine Learning project source code like a proHow to structure projects when working with Python in an ML project, like a pro (or semi-pro)May 16, 20226May 16, 20226