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UID:1b99e498-e8fd-480d-b846-eaa755bd0e92
DTSTAMP:20260605T175504Z
SUMMARY:Robert Koehlmoos - Getting into Trouble with Machine Learning Model
 s
DESCRIPTION:Title: Robert Koehlmoos - Getting into Trouble with Machine Lea
 rning Models\n\nScheduled Date and Time (Pacific Standard): Friday\, Augus
 t 11\, 2023\, at 0900 PDT\n\nEventBrite Link: https://www.eventbrite.com/e
 /robert-koehlmoos-getting-into-trouble-with-machine-learning-models-ticket
 s-668368577407?aff=oddtdtcreator\n\nMax Class Size: 20\n\n\n\n\nAbstract:\
 n\nThis workshop is a beginner's introduction to deep learning with neural
  networks\, going from fundamentals to the latest in models for image edit
 ing\, object recognition\, and automated pen testing using large language 
 models. It starts with an introduction to the theory behind deep learning\
 , with a few toy examples to give students a feel for how these systems ar
 e built. From there we shift focus to a tour of state of the art models wi
 th a focus on running open source models locally independent of proprietar
 y corporate systems. These systems include captcha defeat\, video search a
 nd tracking\, and image editing\, among others. Finally\, students perform
  a pen testing capstone using AutoGPT and HuggingGPT to understand the lat
 est in emergent large language model reasoning capabilities. Students shou
 ld have a basic understanding of how to write Python code\, the class will
  build from there. A laptop with 8Gb of RAM and 100GB of free space will b
 e sufficient. Students may bring laptops with more powerful GPUs\, but onl
 ine resources will be available for more GPU intensive models.\n\n\n\n\nSk
 ill Level: Beginner\n\nPrerequisites for students: None\, this workshop wi
 ll walk through all steps required to use and apply the models.\n\n\n\n\nM
 aterials or Equipment students will need to bring to participate: A laptop
  with at least 8Gb of RAM and 100GB available hard drive space. Must also 
 be able to run a Linux based VM. This isn't meant to be a high bar\, free 
 online resources will be used to supplement their laptop for larger models
 .\n\n\n\n\nStudents will need an OpenAI API token\, which will require set
 ting up a paid account with OpenAI. The final cost for API using in this c
 lass should be no more than $5. I wish there was not a requirement for thi
 s\, but unfortunately some of the cutting edge application I want students
  to experiment with are only available in high enough quality using OpenAI
 's products. This may change between this submission and the start date of
  the class at the rate of current AI advancement.\n\n\n\n\nBio:\n\nRob wor
 ks as a lead machine learning engineer focusing on deep learning applicati
 ons\, primarily with language translation. His team works with the full pi
 peline of training\, productionizing\, and deploying machine learning appl
 ications. He is happy not only talking about theory and research but also 
 the practicalities of model selection and designing products to meet user 
 needs. He previously worked as a data scientist and has strong opinions ab
 out effective uses of data visualization and good UI design. He is only a 
 little afraid of AI taking over everything.\n​
URL:https://forum.defcon.org/node/246031
DTSTART:20230811T170000Z
DTEND:20230811T210001Z
LOCATION:Las Vegas\, NV\, DEF CON 31
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