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--- lctg:20231018plus-details [2023.10.17 11:55] – Steve Isenberg
+++ lctg:20231018plus-details [2023.10.18 08:01] (current) – Steve Isenberg
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 ====A Topdown Look at ChatGPT====
 Presented by Conor O'Mahony\\ \\
-Join us for three Wednesday morning meetings in October and November 2023, presented in conjunction with the Lexington Computer and Technology Group\\ \\ Wednesdays October 18, 25, and November 1, 10:00am - 11:30am ET.\\  //Presented live in the Lexington Community Center and live online via Zoom.\\  These may also be recorded for later viewing if the presenter permits.//
+Join us for three Wednesday morning meetings in October and November 2023, presented in conjunction with the Lexington Computer and Technology Group\\ \\ Wednesdays October 18, 25, and November 1, 10:00am - 11:30am ET.\\  //Presented live in the Lexington Community Center and live online via Zoom.\\  These will be recorded for later viewing.//
-//<ff serif>Note: This summary was written by Harry Forsdick based on a conversation with Conor about his talks.  Conor has not seen this (he's on vacation) so, like ChatGPT, I may be making some of this up...  -- HF</ff>//
 One of the problems in trying to understand how ChatGPT works is that we have all heard a variety of incomplete explanations and are left on our own to figure out the missing pieces.  This set of talks will step back and introduce ChatGPT methodically by presenting a top-down look at ChatGPT.  The talks will attempt to show how several different mechanisms are integrated together to yield the intelligent assistant we would all like to have.
+If you're interested, the GPT in ChatGPT stands for **G**enerative **P**re-Trained **T**ransformer.
 ===October 18: How to Interact with ChatGPT===
+(no technical knowledge needed)
   * Introduction to ChatGPT
   * Prompt Engineering: Presenting Results so that you feel like you are in a conversation
 ===October 25: How Smart is ChatGPT?===
+(no technical knowledge needed)
   * Training ChatGPT
   * Reasoning, Understanding, and Consciousness
 ===November 1: How LLMs Work===
+(a technical presentation)
   * How LLMs, Large Language Models, work