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DTSTART:20241103T010000
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DTSTAMP:20240804T215827Z
UID:E0A68A18-4196-4C43-BCBA-D3D915088E82
DTSTART;TZID=America/New_York:20240801T190000
DTEND;TZID=America/New_York:20240801T213000
DESCRIPTION:[]\n\n2023 was a pivotal year for AI\, with ChatGPT capturing s
 ignificant attention. Since then\, almost every company has been developin
 g their AI strategies to gain a competitive advantage. This lecture will c
 over the basics of AI\, starting with the differences between Machine Lear
 ning (ML)\, Artificial Intelligence (AI)\, Deep Learning (DL)\, and Genera
 tive AI (GenAI)\, and how they work. A basic neural network will be explai
 ned\, including input\, hidden\, and output layers.\n\nWe will then delve 
 into prompt engineering\, beginning with the building blocks of a prompt\,
  followed by more advanced techniques such as few-shot learning\, chain of
  thought\, personas\, self-prompting\, prompt chaining\, and Retrieval-Aug
 mented Generation (RAG). Examples will be shared throughout\, with an emph
 asis on using text-based modalities and use cases for productivity improve
 ments.\n\nWe will also discuss pitfalls to avoid\, including security\, sh
 adow prompting\, bias\, overfitting\, technical debt\, and ethics. The lec
 ture will conclude with a discussion on trends and future developments in 
 AI.\n\nSpeaker(s): Michael Verdecanna\n\nAgenda: \n7:00 PM Networking\n\n7
 :20 PM Presentation\n\nVirtual: https://events.vtools.ieee.org/m/426874
LOCATION:Virtual: https://events.vtools.ieee.org/m/426874
ORGANIZER:EarlyElectronics@ix.netcom.com
SEQUENCE:48
SUMMARY:Artificial Intelligence Fundamentals
URL;VALUE=URI:https://events.vtools.ieee.org/m/426874
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;img style=&quot;display: blo
 ck\; margin-left: auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.
 ieee.org/vtools_ui/media/display/f848d31e-15d1-4a05-bd92-348809fa2e4a&quot; alt
 =&quot;&quot; width=&quot;768&quot; height=&quot;432&quot;&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;2023 was a pivotal
  year for AI\, with ChatGPT capturing significant attention. Since then\, 
 almost every company has been developing their AI strategies to gain a com
 petitive advantage. This lecture will cover the basics of AI\, starting wi
 th the differences between Machine Learning (ML)\, Artificial Intelligence
  (AI)\, Deep Learning (DL)\, and Generative AI (GenAI)\, and how they work
 . A basic neural network will be explained\, including input\, hidden\, an
 d output layers.&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;We will then delve into prompt 
 engineering\, beginning with the building blocks of a prompt\, followed by
  more advanced techniques such as few-shot learning\, chain of thought\, p
 ersonas\, self-prompting\, prompt chaining\, and Retrieval-Augmented Gener
 ation (RAG). Examples will be shared throughout\, with an emphasis on usin
 g text-based modalities and use cases for productivity improvements.&lt;/p&gt;\n
 &lt;p&gt;We will also discuss pitfalls to avoid\, including security\, shadow pr
 ompting\, bias\, overfitting\, technical debt\, and ethics. The lecture wi
 ll conclude with a discussion on trends and future developments in AI.&lt;/p&gt;
 &lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;7:00 PM &amp;nbsp\; Networking&lt;/p&gt;\n&lt;p&gt;7:20 PM &amp;n
 bsp\; Presentation&lt;/p&gt;
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