Attention, Transformers, and LLMs: a hands-on introduction in Pytorch

Submission information

Submission Number: 286

Submission ID: 4310

Submission UUID: e3e92f64-5378-409e-b803-bf18eaaeb53a

Submission URI: /form/resource

Created: Thu, 01/18/2024 - 13:50

Completed: Thu, 01/18/2024 - 13:51

Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 2620:103:a000:101:ecf5:ca33:2a11:ff23

Submitted by: Dane Smith

Language: English

Is draft: No

Webform: Knowledge Base Resources

Approved	Yes
Title	Attention, Transformers, and LLMs: a hands-on introduction in Pytorch
Category	Learning
Skill Level	Intermediate
Description	This workshop focuses on developing an understanding of the fundamentals of attention and the transformer architecture so that you can understand how LLMs work and use them in your own projects.
Link to Resource	Landing Page Preparing data for LLM training Small Language Models: an introduction to autoregressive language modeling Attention is all you need Other LLM Topics
Tags	ai, deep-learning, machine-learning, neural-networks, pytorch
Domain	ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast
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