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Attention, Transformers, and LLMs: a hands-on introduction in Pytorch
Submission navigation links for Knowledge Base Resources
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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
Tags
ai
,
deep-learning
,
machine-learning
,
neural-networks
,
pytorch
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
Domain
ACCESS CSSN
,
Campus Champions
,
CAREERS
,
CCMNet
,
Great Plains
,
Kentucky
,
Northeast