Practical AI: Machine Learning, Data Science, LLM cover image

Deep learning in Rust with Burn 🔥

Practical AI: Machine Learning, Data Science, LLM

Expanding AI to Other Languages and Building a Deep Learning Framework in Rust

5min Snip

00:00
Play full episode
This chapter explores the motivations behind using Rust as a framework for AI tools, highlighting the need for asynchronous neural networks, multi-threading, and concurrency. It also discusses the challenges of supporting deep learning in Rust, such as the lack of specialized libraries and GPU support.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode