In this chapter, the speakers discuss their initial interest in Rust and how they got to know each other through the programming language Go. They highlight Rust's low-level features and performance capabilities that attracted them, as well as its suitability for web services. They explore the wide range of applications that can be built with Rust, both high-level and low-level, and mention specific libraries like Tokyo and Actix for web services.
It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust.
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Show Notes:
burn-rs: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust.
Something missing or broken? PRs welcome!