Duke University
Rust for Large Language Model Operations (LLMOps)

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Duke University

Rust for Large Language Model Operations (LLMOps)

This course is part of Rust Programming Specialization

Noah Gift
Alfredo Deza

Instructors: Noah Gift

2,172 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.0

(10 reviews)

Intermediate level

Recommended experience

16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.0

(10 reviews)

Intermediate level

Recommended experience

16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Mastery in deploying Rust for intricate LLMOps workflows.

Details to know

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Assessments

5 assignments

Taught in English

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This course is part of the Rust Programming Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking 4-week course is designed specifically to train you in Large Language Model Operations (LLMOps) using Rust. This course doesn't just scratch the surface; it takes a deep dive into how you can integrate Rust with sophisticated LLM frameworks like HuggingFace Transformers. We'll also explore how to effectively deploy these large models on cloud infrastructures such as AWS, all while incorporating DevOps methodologies tailored for LLMOps.

What's included

23 videos15 readings1 assignment2 ungraded labs

This week, you will delve into the powerful combination of Rust with Candle, a minimalist ML framework, and explore how they can be used with Hugging Face's popular transformer models. You will apply these concepts by working on a series of hands-on labs that guide you through building, training, and deploying machine learning models using Rust, Candle, and Hugging Face. The assessment will challenge you to create a real-world application using these tools, demonstrating your ability to apply the techniques learned in complex scenarios.

What's included

15 videos16 readings1 assignment

This week, you will learn how to implement state-of-the-art natural language processing models in Rust using key LLMOps technologies like Rust Bert, tch-rs, and ONNX. You will apply these skills by converting a BERT model to ONNX and deploying it in a Rust application, demonstrating proficiency in operationalizing NLP pipelines.

What's included

10 videos13 readings1 assignment

This week, you will learn to utilize GenAI Systems to enhance your ability to write production software and solve problems.

What's included

12 videos6 readings2 assignments

Instructors

Noah Gift
Duke University
40 Courses143,028 learners

Offered by

Duke University

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