Facundo Santiago – Medium

Facundo Santiago

Facundo Santiago

The era of no-so-large language models

The field of LLM is being challenged by a trend of smaller models that outperform mid size models, lowering the entry barrier for…

Nov 29, 2023

The era of no-so-large language models

Nov 29, 2023

Facundo Santiago

Effortless model deployment with MLflow — Stratified models (many models) for forecasting

How to package many models or partitioned models into a single MLflow entity that you can seamlessly deploy to produce predictions.

Jul 7, 2023

Effortless model deployment with MLflow — Stratified models (many models) for forecasting

Jul 7, 2023

Facundo Santiago

English 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, 2023

English is the most powerful programing language — even for data science: Introduction to prompt…

May 8, 2023

Facundo Santiago

It 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, 2023

It wasn’t Magic. How NLP went from Text Mining to the Era of Large Language Models.

Apr 8, 2023

Facundo Santiago

Model 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, 2023

Model Evaluation, Monitoring, and Error Analysis in Machine Learning. Is it all the same?

Mar 20, 2023

Facundo Santiago

MLOps: 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, 2022

MLOps: Say hello to Continuous Training (CT)

Jul 31, 2022

Facundo Santiago

Model interpretability — Making your model confesses: Saliency maps

How to interpret NLP models using Saliency Maps: an example with transformers.

Jun 8, 2022

Model interpretability — Making your model confesses: Saliency maps

Jun 8, 2022

Facundo Santiago

Loading NLP HuggingFace models into AllenNLP framework

How to take advantage of the transformers library in HuggingFace and extend its functionality using AllenNLP

Jun 8, 2022

Loading NLP HuggingFace models into AllenNLP framework

Jun 8, 2022

Facundo Santiago

Jupyter 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 practices

May 16, 2022

Jupyter Notebooks are the devil: Not really!

May 16, 2022

Facundo Santiago

Structure your Machine Learning project source code like a pro

How to structure projects when working with Python in an ML project, like a pro (or semi-pro)

May 16, 2022

Structure your Machine Learning project source code like a pro

May 16, 2022

Facundo Santiago

Facundo Santiago

Product Manager @ Microsoft AI. Graduate adjunct professor at University of Buenos Aires. Frustrated sociologist.

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