Join Brooke and Dave as they dive into an enthralling conversation with Noah

Gift, Duke EIR for Data Science and AI, exploring the powerful synergy between Rust and the

dynamic world of AI/ML. Journey through Noah's illustrious career, including his remarkable

stint working on blockbuster movies like Avatar, and his transition into the fascinating

sphere of Machine Learning.

This episode uncovers the strengths of the Rust programming language, the evolving landscape

of MLOps, the ways Rust enhances developers' work, its integration with Lambda, the

substantial cost savings Rust can usher in, and the thrilling developments on the horizon

for developers.

If you want to stay ahead of the curve in technology, this episode is a must-listen!

Noah on LinkedIn: https://www.linkedin.com/in/noahgift/

Noah on Coursera: https://www.coursera.org/instructor/noahgift

Brooke’s Twitter: twitter.com/brooke_jamieson

Brooke on LinkedIn: www.linkedin.com/in/brookejamieson/

Brooke’s TikTok: www.tiktok.com/@brookebytes

Brooke’s Instagram: www.instagram.com/brooke.bytes/

Dave on Twitter: twitter.com/thedavedev

NewTek Video Toaster - https://en.wikipedia.org/wiki/Video_Toaster

Podcast Episode 083 - Decoding the Future of Safe and Efficient Programming with Rust and

Tim McNamara

https://open.spotify.com/episode/5AsvddooY9a04gKviOC7cB

[BLOG] Rust Runtime for AWS Lambda:

https://aws.amazon.com/blogs/opensource/rust-runtime-for-aws-lambda/

[DOCS] Building Lambda functions with Rust:

https://docs.aws.amazon.com/lambda/latest/dg/lambda-rust.html

[DOCS] Getting started with the AWS SDK for Rust:

https://docs.aws.amazon.com/sdk-for-rust/latest/dg/getting-started.html

[DOCS] Onnx runtime for Rust: https://docs.rs/onnxruntime/latest/onnxruntime/

[DOCS] Polars – DataFrame library for Rust: https://docs.rs/polars/latest/polars/

[GIT] Noahs Rust MLOps Template: https://github.com/nogibjj/rust-mlops-template

[PORTAL] Start with Rust here: www.rust-lang.org/

[PORTAL] Rayon - Data-parallelism library that makes it easy to convert sequential

computations into parallel: https://docs.rs/rayon/latest/rayon/

[PORTAL] Amazon CodeWhisperer - Build applications faster and more securely with your AI

coding companion: https://aws.amazon.com/codewhisperer/

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