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DTSTART:20250319T000000Z
DTEND:20250319T004500Z
DTSTAMP:20250318T000000Z
SUMMARY:Data Science and Coding with LLMs
DESCRIPTION:\n\n\n\nThis workshop\, "Data Science and Coding with LLMs\," 
 is designed for college students with some prior experience in data science 
 and coding. Here's a summary of the key topics and takeaways:\n\n● The 
 workshop will focus on practical coding examples that are up-to-date\, 
 using tools like GPT-4 and Gemini. These examples are real-life scenarios\, 
 generated since Fall 2024.\n\n● Participants will learn to utilize 
 ChatGPT/Gemini for specific coding tasks\, rather than trying to build 
 complete applications. The workshop will cover how to use prompt and choose 
 the right coding libraries for specific purposes\, which can increase 
 productivity. You will learn to refine questions through conversation to 
 get closer to the desired output.\n\n● Emphasis will be placed on code 
 reliability. The workshop will stress that it is crucial to verify code 
 generated by AI and not trust it 100%.\n\n● Debugging techniques will be 
 covered\, including checking error logs\, isolating the bug\, and making 
 assumptions about the errors to test them. \n\n● The workshop will 
 emphasize the importance of well-documented and readable code for 
 portability\, usability\, and maintainability. It will also be noted that 
 programmers spend time understanding\, reusing\, and modifying existing 
 code\, and that hard-to-read code leads to bugs and inefficiencies.\n\n● 
 Attention will be given to the importance of indentation in coding\, 
 particularly in Python\, where it is critical to the structure of the code. 
 Copy/pasting Python code can lead to problems.\n\n● The workshop will 
 touch on the issue of hallucination in LLMs.\n\n● Other topics include: 
 file I/O operations in Python and R\, writing small scripts such as shell 
 scripts and Google Apps Script.\n\nThe workshop will stress that asking the 
 right questions is fundamental. It will also underscore that most of 
 today's programming consists of re-using existing code in slightly 
 different forms\, and that high levels of reasoning may not always be 
 required.
ORGANIZER;CN="Yan Han":MAILTO:yhan@arizona.edu
CATEGORIES:
CONTACT;CN="Yan Han":MAILTO:yhan@arizona.edu
STATUS:CONFIRMED
UID:LibCal-13905711
URL:https://libcal.library.arizona.edu/event/13905711
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