
SE Radio 588: José Valim on Elixir, Machine Learning, and Livebook
Software Engineering Radio - the podcast for professional software developers
Integration of Native Code for Machine Learning in Erlang
This chapter explores the integration of native code in Erlang for machine learning purposes, discussing the concept of processes, preemptive code, and the use of native implemented functions (NIFs) and dirty NIFs. It also mentions the use of Google XLA and divottorch libraries for machine learning in Elixir.
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