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Faculty Research Presentation: Harrison Schramm, "Small Computers, Big Jobs"


Date: April 2, 2024
Time: 1200-1300
Location: IN 278 or Teams

Harrison Schramm presents his work titled "Small Computers, Big Jobs". 
  
Abstract:  
While there is a lot of hype and focus on ‘Big Data’ and “Large Language Models” such as Chat-GPT, there exist considerable opportunities in ‘small’ computing and ‘small language models’.  This talk will focus on the task of building, installing, and running a chat model on a small platform.  This will show the possibilities of single-board computers, with AI applications as a motivating example.  Depending on the interest of the audience, I may also show some examples of ‘transfer learning’, where a large language model is downloaded from a source, and then specifically adapted to an end-user’s needs.   The ultimate goal is to show how smaller computers can perform tasks that were previously only considered for large computers.  The highlight will be hands-on demonstrations of these computers.  Currently, I have two up and running.  

 

Teams info and link:
Meeting ID: 223 839 119 687
Passcode: FNEwkm
 

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