DeepLearning.AI

Efficiently Serving LLMs

Travis Addair

Instructor: Travis Addair

Build in-demand job skills with step-by-step instructions
Intermediate level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning
Build in-demand job skills with step-by-step instructions
Intermediate level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning

What you'll learn

  • Learn how Large Language Models (LLMs) repeatedly predict the next token, and how techniques like KV caching can greatly speed up text generation.

  • Code for efficient LLM app serving, balancing model output speed and serving many users at once.

  • Explore the fundamentals of Low Rank Adapters and see how Predibase builds their framework inference server to serve fine-tuned models at once.

Skills you'll practice

Details to know

Taught in English
No downloads or installation required

Only available on desktop

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
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About this project

Instructor

Travis Addair
DeepLearning.AI
1 Course338 learners

Offered by

DeepLearning.AI

How you'll learn

  • Hands-on, project-based learning

    Practice new skills by completing job-related tasks with step-by-step instructions.

  • No downloads or installation required

    Access the tools and resources you need in a cloud environment.

  • Available only on desktop

    This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Frequently asked questions