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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTART:20250618T170000Z
DTEND:20250618T180000Z
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
SUMMARY:Streamline Your AI - Transforming LLMs into Efficient\, Specialized Solutions
DESCRIPTION:As artificial intelligence continues to evolve\, organizations are finding out that bigger isn't always better when it comes to language models. This webinar will help business owners learn how to turn large language models (LLMs) into smaller\, specialized models that deliver targeted performance at a fraction of the cost.\n\nIn this session\, we'll explore techniques like knowledge distillation and model pruning to create more efficient AI solutions for your business. We'll discuss how these streamlined models can run more effectively on your devices\, reducing costs while maintaining the intelligence and accuracy your business requires. \n\nLearning Objectives:\n\n\n	Understanding the business case for model distillation versus large-scale deployments\n	Mastering knowledge distillation and pruning techniques for your specific use cases\n	Implementing specialized AI solutions within existing infrastructure constraints\n	Building a distributed AI strategy that scales across workstations\n\n\nHaving trouble registering for this webinar? Click Here for help.\n\nFunded in part through a Cooperative Agreement with the U.S. Small Business Administration. All opinions\, conclusions\, and/or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the SBA. By registering for this event\, you agree to receive email communications from SCORE based on the information collected. Click HERE to view SCORE Terms and Conditions and Privacy Statements.\n\nPosted by CHA
X-ALT-DESC;FMTTYPE=text/html:<p style="box-sizing: border-box\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\; margin: 1rem 0px !important\;">As artificial intelligence continues to evolve\, organizations are finding out that bigger isn&#39\;t always better when it comes to language models. This webinar will help business owners learn how to turn large language models (LLMs) into smaller\, specialized models that deliver targeted performance at a fraction of the cost.</p>\n\n<p dir="ltr" style="box-sizing: border-box\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\; margin: 1rem 0px !important\;"><span style="box-sizing: border-box\;">In this session\, we&#39\;ll explore techniques like knowledge distillation and model pruning to create more efficient AI solutions for your business. We&#39\;ll discuss how these streamlined models can run more effectively on your devices\, reducing costs while maintaining the intelligence and accuracy your business requires.&nbsp\;</span></p>\n\n<p dir="ltr" style="box-sizing: border-box\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\; margin: 1rem 0px !important\;"><span style="box-sizing: border-box\;">Learning Objectives:</span></p>\n\n<ul style="box-sizing: border-box\; margin: 0px\; padding: 0px 0px 0px 35px\; list-style: initial\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\;">\n	<li dir="ltr" style="box-sizing: border-box\; margin: 0px\; padding: 0px\; list-style: disc\;"><span style="box-sizing: border-box\;">Understanding the business case for model distillation versus large-scale deployments</span></li>\n	<li dir="ltr" style="box-sizing: border-box\; margin: 0px\; padding: 0px\; list-style: disc\;"><span style="box-sizing: border-box\;">Mastering knowledge distillation and pruning techniques for your specific use cases</span></li>\n	<li dir="ltr" style="box-sizing: border-box\; margin: 0px\; padding: 0px\; list-style: disc\;"><span style="box-sizing: border-box\;">Implementing specialized AI solutions within existing infrastructure constraints</span></li>\n	<li dir="ltr" style="box-sizing: border-box\; margin: 0px\; padding: 0px\; list-style: disc\;"><span style="box-sizing: border-box\;">Building a distributed AI strategy that scales across workstations</span></li>\n</ul>\n\n<p dir="ltr" style="box-sizing: border-box\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\; margin: 1rem 0px !important\;"><span style="box-sizing: border-box\;"><span style="box-sizing: border-box\; font-weight: bolder\;">Having trouble registering for this webinar?&nbsp\;<a href="https://score.box.com/s/c6b8ly4a6qf6fcfuq079im72n5ovl4v1" style="box-sizing: border-box\; background-color: transparent\; outline-color: rgb(0\, 110\, 183)\; color: rgb(0\, 110\, 183) !important\;" target="_blank">Click Here</a>&nbsp\;for help.</span></span></p>\n\n<p dir="ltr" style="box-sizing: border-box\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\; margin: 0px 0px 1rem !important\;"><em style="box-sizing: border-box\; font-size: 11px\;"><span style="box-sizing: border-box\; font-size: 10px\;">Funded in part through a Cooperative Agreement with the U.S. Small Business Administration. All opinions\, conclusions\, and/or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the SBA. By registering for this event\, you agree to receive email communications from&nbsp\;SCORE&nbsp\;based on the information collected. Click&nbsp\;<a href="https://www.score.org/website-terms-use" style="box-sizing: border-box\; background-color: transparent\; outline-color: rgb(0\, 110\, 183)\; color: rgb(0\, 110\, 183) !important\;" target="_blank">HERE</a>&nbsp\;to view SCORE&nbsp\;Terms and Conditions&nbsp\;and&nbsp\;Privacy Statements.</span></em></p>\n\n<p dir="ltr" style="box-sizing: border-box\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\; background-color: rgb(255\, 255\, 255)\; margin: 0px 0px 1rem !important\;"><em style="box-sizing: border-box\; font-size: 11px\;"><span style="box-sizing: border-box\; font-size: 10px\;">Posted by CHA</span></em></p>\n
LOCATION:Online
UID:e.569.15811
SEQUENCE:3
DTSTAMP:20260429T204616Z
URL:https://business.greaterperimeterchamber.com/events/details/streamline-your-ai-transforming-llms-into-efficient-specialized-solutions-15811
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