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DTSTAMP:20241201T092543Z
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DTSTART;TZID=Europe/Paris:20240703T200000
DTEND;TZID=Europe/Paris:20240703T223000
DESCRIPTION:On July 3rd\, a workshop titled "Developing an LLM: Building\, 
 Training\, and Testing" was held\, focusing on the essential processes of 
 building\, training\, and testing advanced AI systems. Expertly moderated 
 by IEEE WIE ENIS\, the workshop provided valuable guidance throughout the 
 session. Participants explored the intricacies of constructing robust LLM 
 architectures\, best practices in training these models on vast datasets\,
  and various methods for evaluating and fine-tuning their performance. Thi
 s session offered a comprehensive understanding of the complexities involv
 ed in developing state-of-the-art language models\, making it an enriching
  experience for all attendees. The workshop marked the conclusion of a ser
 ies of workshops as part of the WIE promotion event and was highly benefic
 ial for participants.	[]\n\nSpeaker(s): Imen Selmi\n\nVirtual: https://eve
 nts.vtools.ieee.org/m/426615
LOCATION:Virtual: https://events.vtools.ieee.org/m/426615
ORGANIZER:wiem_slimi_11@ieee.org
SEQUENCE:5
SUMMARY:WIE Prompt: Developing an LLM: Building\, Training\, and Testing
URL;VALUE=URI:https://events.vtools.ieee.org/m/426615
X-ALT-DESC:Description: <br /><table style="border-collapse: collapse\; wid
 th: 99.5015%\; height: 283.6px\; border-width: 0px\;" border="1"><colgroup
 ><col style="width: 48.6894%\;"><col style="width: 51.389%\;"></colgroup>\
 n<tbody>\n<tr style="height: 283.6px\;">\n<td style="height: 283.6px\; ver
 tical-align: top\; text-align: justify\; border-width: 0px\;">On July 3rd\
 , a workshop titled <span style="color: rgb(224\, 62\, 45)\;">"<strong>Dev
 eloping an LLM: Building\, Training\, and Testing</strong>"</span> was hel
 d\, focusing on the essential processes of building\, training\, and testi
 ng advanced AI systems. Expertly moderated by IEEE WIE ENIS\, the workshop
  provided valuable guidance throughout the session. Participants explored 
 the intricacies of constructing robust LLM architectures\, best practices 
 in training these models on vast datasets\, and various methods for evalua
 ting and fine-tuning their performance. This session offered a comprehensi
 ve understanding of the complexities involved in developing state-of-the-a
 rt language models\, making it an enriching experience for all attendees. 
 The workshop marked the conclusion of a series of workshops as part of the
  WIE promotion event and was highly beneficial for participants.</td>\n<td
  style="height: 283.6px\; text-align: right\; vertical-align: top\; border
 -width: 0px\;"><img src="https://events.vtools.ieee.org/vtools_ui/media/di
 splay/e2b4cf97-8073-4262-b536-62569738359d" alt="" width="519" height="219
 "></td>\n</tr>\n</tbody>\n</table>
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