BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:In this workshop\, we will explore the evolution of AI from Al
 an Turing's early work to contemporary systems. Participants will learn a
 bout different types of AI and gain a clear understanding of what AI is a
 nd is not. The session will also cover the AI coding tool landscape. Atte
 ndees will learn best practices for creating effective prompts and verifi
 cation\, as well as recognizing and avoiding common pitfalls. During the 
 hands-on portion\, attendees will process a public dataset using Yale's A
 I Clarity LLM and the Positron native IDE assistant. The session will inv
 olve completing a coding task through prompting\, iterating\, and debuggi
 ng with the aid of AI tools. Cookies and coffee will be provided. The lea
 rning objectives for the workshop include: Foundational AI Literacy: Expl
 ain AI's evolution from Allen Turing to the modern day\, distinguish betw
 een AI system types\, and better articulate what AI is and isn't. Underst
 and the AI coding tool landscape\, learn best practices for prompts and v
 erification\, and identify and navigate common pitfalls. Process a public
  dataset using Yale's AI Clarity LLM and Positron native IDE assistant to
  complete a coding task through prompting\, iterating\, and debugging. AI
  Tool Access. This workshop will include exercises using Yale’s AI Clarit
 y LLM \, which is available to Yale affiliates. Participants who have acc
 ess to other large language models (LLMs) are welcome to use those instea
 d if they prefer. If you do not have access to an LLM\, we will provide a
  pre-generated response that you can follow along with during the exercis
 e. Please note that we are not able to provide participants with access t
 o an LLM for the workshop session.\n\nAdmission:\nFree\n\nDetails URL:\nh
 ttps://medicine.yale.edu/event/using-ai-to-code/\n
DTEND;TZID=America/New_York:20260323T160000
DTSTAMP:20260420T091454Z
DTSTART;TZID=America/New_York:20260323T150000
GEO:41.303666;-72.932218
LOCATION:Yale School of Public Health (LEPH)\, 103\, 60 College Street\, N
 ew Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Code Smarter\, Not Harder: Unlocking AI Assisted Coding
UID:f4dccec0-c216-4acf-bdca-13863fac200c
END:VEVENT
END:VCALENDAR