BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Pacific/Honolulu
BEGIN:STANDARD
DTSTART:19470608T023000
TZOFFSETFROM:-1130
TZOFFSETTO:-1000
TZNAME:HST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20231218T222528Z
UID:130FADB2-1684-4640-A649-4C833A7F7D1F
DTSTART;TZID=Pacific/Honolulu:20231212T173000
DTEND;TZID=Pacific/Honolulu:20231212T193000
DESCRIPTION:This workshop will explore how Retrieval Augmented Generation (
 RAG) can help improve the use of LLM-generated responses. LLM models know 
 the probability of the connection between words\, but there is no knowledg
 e about the meeting of the words. LLM does not know what is grounded to re
 ality. The RAG attempts to ground the output to facts and reduce nonsense 
 (hallucinations).\n\nThis is a hands-on workshop geared to the software de
 veloper.\nPlease bring your notebooks.\nTools for the workshop: Python and
  Google Colab.\n\nSuggested readings:\n1 : https://ai.meta.com/blog/retrie
 val-augmented-generation-streamlining-the-creation-of-intelligent-natural-
 language-processing-models/\n\n2: https://research.ibm.com/blog/retrieval-
 augmented-generation-RAG\n\nCo-sponsored by: O&#39;ahu AI\, HTDC\, and HubCoWo
 rking\n\nSpeaker(s): Kevin\, \n\nAgenda: \nThis meeting is free. Please re
 gister to help us with space and refreshments planning.\n\n5:15 Registrati
 on\n5:30 Workshop\n6:30 Networking\n\nRoom: Purple Box\, Bldg: Entrepreneu
 rs Sandbox\, 643 Ilalo St\, Honolulu\, Hawaii\, United States\, 96813
LOCATION:Room: Purple Box\, Bldg: Entrepreneurs Sandbox\, 643 Ilalo St\, Ho
 nolulu\, Hawaii\, United States\, 96813
ORGANIZER:eugene.chang@ieee.org
SEQUENCE:74
SUMMARY:Build Your Custom Generative AI ChatBot - An Interactive Workshop
URL;VALUE=URI:https://events.vtools.ieee.org/m/381678
X-ALT-DESC:Description: &lt;br /&gt;&lt;div class=&quot;&quot;&gt;This workshop will explore how 
 Retrieval Augmented Generation (RAG) can help improve the use of LLM-gener
 ated responses. LLM models know the probability of the connection between 
 words\, but there is no knowledge about the meeting of the words. LLM does
  not know what is grounded to reality. The RAG attempts to ground the outp
 ut to facts and reduce nonsense (hallucinations).&lt;/div&gt;\n&lt;div class=&quot;&quot;&gt;&amp;nb
 sp\;&lt;/div&gt;\n&lt;div class=&quot;&quot;&gt;This is a hands-on workshop geared to the softwa
 re developer.&lt;/div&gt;\n&lt;div class=&quot;&quot;&gt;Please bring your notebooks.\n&lt;div clas
 s=&quot;&quot;&gt;Tools for the workshop: Python and Google Colab.&lt;/div&gt;\n&lt;/div&gt;\n&lt;div 
 class=&quot;&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div class=&quot;&quot;&gt;Suggested readings:&lt;/div&gt;\n&lt;div clas
 s=&quot;&quot;&gt;1 :&amp;nbsp\;&lt;a class=&quot;&quot; href=&quot;https://ai.meta.com/blog/retrieval-augmen
 ted-generation-streamlining-the-creation-of-intelligent-natural-language-p
 rocessing-models/&quot;&gt;https://ai.meta.com/blog/retrieval-augmented-generation
 -streamlining-the-creation-of-intelligent-natural-language-processing-mode
 ls/&lt;/a&gt;&lt;br class=&quot;&quot; /&gt;&lt;br class=&quot;&quot; /&gt;2:&amp;nbsp\;&lt;a class=&quot;&quot; href=&quot;https://re
 search.ibm.com/blog/retrieval-augmented-generation-RAG&quot;&gt;https://research.i
 bm.com/blog/retrieval-augmented-generation-RAG&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda
 : &lt;br /&gt;&lt;p&gt;This meeting is free. Please register to help us with space and
  refreshments planning.&lt;/p&gt;\n&lt;p&gt;5:15 &amp;nbsp\; &amp;nbsp\;Registration&lt;br /&gt;5:30
  &amp;nbsp\; Workshop&lt;br /&gt;6:30 &amp;nbsp\; Networking&lt;/p&gt;
END:VEVENT
END:VCALENDAR