Users who regularly make use of the Wolfram neural net repository will find 25 new types of nets there, including popular but computationally complex language representation model BERT, and Generative Pretrained Transformer 2, which is used for text-generation systems. Version 12.1 for example saw the addition of Julia and R to the collection of external languages, which means the system’s capabilities should be more accessible to data scientists now. The amount of new features detailed in a blog post by creator Stephen Wolfram is quite extensive, and has lots in store for those using either of the products to get to grips with machine learning.
Wolfram Research has released version 12.1 of its Wolfram programming language and the technical computing system Mathematica.
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