Rust LLMOps / with Noah Gift.

Format:

Video

Author/Creator:

Gift, Noah, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Learn about the Rust language, with a strong focus on ways you can apply it in MLOps.

In this course, MLOps expert Noah Gift covers the Rust language through live coding. Discover an iterative approach to understand and master the language, particularly focusing on its applications in MLOps. After going over the tools and methodologies that you will use in this course, dive into infrastructure as code, monitoring and logging, and auditing networks. Explore several key topics around security, permissions, and privacy. Find out how software like Candle, Codespaces, and Starcoder can enhance your experience with Rust. Learn about serverless inference, as well as Rust CLI inference and Rust chat inference. Explore Rust-BERT, Rust-PyTorch, ONNX, and more. Explore several AI services and how you can leverage them with Rust. Plus, explore several live coding sessions with Rust Cargo Lambda. This course was created by Noah Gift. We are pleased to host this training in our library.

Participant:

Presenter: Noah Gift

Notes:

7/11/202412:00:00AM

Access Restriction:

Restricted for use by site license.