Integration of Elixir with Machine Learning Technologies in 2024

The article provides an extensive overview of the state of integrating Elixir with various machine learning technologies in 2024. Key projects discussed include Nx, which has incorporated MLIR to enhance support for various hardware and quantization; Explorer, which now supports Arrow numeric types and streaming data from S3-compatible storage; and Scholar, which introduces new features and algorithms for traditional machine learning. The article also highlights contributions from community members, such as Thomas Millar's `instructor_ex` for structured prompting in LLMs and mentions various learning resources, including books and talks on machine learning within the Elixir ecosystem.