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BEGIN:VEVENT
DTSTART:20250618T170000Z
DTEND:20250618T180000Z
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
SUMMARY:SCORE Free Webinar - 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
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\; 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\; 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\; 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-right: 0px\; padding-left: 35px\; list-style: initial\; color: rgb(33\, 37\, 41)\; font-family: &quot\;Helvetica Neue&quot\;\, Helvetica\, Arial\, sans-serif\; font-size: 14px\;">\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
LOCATION:
UID:e.628.7979
SEQUENCE:3
DTSTAMP:20260430T042635Z
URL:https://business.qhma.com/events/details/score-free-webinar-streamline-your-ai-transforming-llms-into-efficient-specialized-solutions-7979
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