Software Product Lines to automate the Combination of Machine Learning Models
We propose a Software Product Line approach for expressing and generating combinations of LLMs, e.g. using a Mixture of Experts technique
ModelSet: a Labelled Dataset of Software Models for Machine Learning
Curated collections of models are essential for the success of Machine Learning (ML) and Data Analytics in Model-Driven Engineering (MDE). However, there is still a lack of curated datasets of software models. We believe that there are several reasons for this,...
Combining OCL and Natural Language: a Call for a Community Effort
The advances in Artificial Intelligence and, in particular, in the Natural Language Processing (NLP) subfield, are becoming mainstream technology. For instance, NLP recent advances such as GPT-3 are able to produce human-like text to be used in copywriting,...
DescribeML: A tool for describing machine learning datasets
DescribeML is a Visual Studio Code plugin to precisely describe machine learning datasets.
A Generic LSTM-Based Neural Network Architecture to infer Heterogeneous Model Transformations
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer heterogeneous model transformations from sets of input-output model pairs.
The low-code handbook
Modeling: all you need to know
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