Patricio Cerda-MardiniFine-tuning a Mistral Language Model with AnyscaleAn exploration of how fine-tuning affects the behavior of large language models, courtesy of Mistral, Anyscale and MindsDB.Jan 17Jan 17
Patricio Cerda-MardiniinMindsDBHow to bring your own machine learning model to databasesIn this blog post you’ll see how to deploy a natural language processing ML model written in Keras into a database and call it via SQLMar 21, 2022Mar 21, 2022
Patricio Cerda-MardiniinMindsDBMultivariate time series forecasts inside databases with MindsDB and PyTorchTime-series forecasting is a difficult task. In this post, we’ll delve into a solution that will save a lot of time for ML practitioners.Aug 3, 2021Aug 3, 2021
Patricio Cerda-MardiniinMindsDBModel agnostic confidence estimation with conformal predictors for AutoMLLearn how using inductive conformal predictors framework helps to develop and calibrate trustworthy ML modelsApr 29, 2021Apr 29, 2021
Patricio Cerda-MardiniHi, nice article.I'm wondering if you used a normalizer for the ICP in this example? It's not mentioned but you do say "the interval is wider" so I assume…Mar 19, 2021Mar 19, 2021