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    <event>
        <id>4197448</id>
        <event_id>1139193</event_id>
        <eventinstance_id>4197448</eventinstance_id>
		<calendar>
			<id>1873</id>
			<title>UCF Research Computing &amp; Data Workshops</title>
			<slug>ucf-research-computing-data-workshops</slug>
			<url>https://events.ucf.edu/calendar/1873/ucf-research-computing-data-workshops/</url>
		</calendar>
		<title>Leveraging ACCESS resources for your research -- ML/AI, GPUs, LLMs</title>
		<subtitle></subtitle>
		<start_date>Wed, 09 Sep 2026 14:00:00 -0400</start_date>
		<end_date>Wed, 09 Sep 2026 16:00:00 -0400</end_date>
		<location></location>
		<room></room>
		<virtual_url><![CDATA[https://ucf.qualtrics.com/jfe/form/SV_4YkJt37LQp5zADc]]></virtual_url>

		<address>
			<building></building>
			<city></city>
			<zipcode></zipcode>
			<state></state>
			<country>
				<id xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-1.0" codeListID="ISO3166-1" codeListAgencyID="6" codeListAgencyName="United Nations Economic Commission for Europe" codeListName="country" codeListVersionID="0.3" languageID="en" codeListURI="http://www.iso.org/iso/en/prods-services/iso3166ma/02iso-3166-code-lists/list-en1-semic.txt" codeListSchemeURI="urn:oasis:names:specification:ubl:schema:xsd:countryIdentificationCode-1.0">US</id>
				<name xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-1.0">United States</name>
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			<location_type></location_type>
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			<location_phone></location_phone>
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			<directions></directions>
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			<additional_public_info></additional_public_info>
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		<languages>
			<language>en-US</language>
		</languages>
		<event_transparency></event_transparency>

		<description><![CDATA[<p>Join the Office of Research Cyberinfrastructure for a presentation on the NSF-funded ACCESS ecosystem. Comprised of more than a dozen research institutions in the US, ACCESS is a great ecosystem of advanced computing resources that can accelerate your research.<br><br>Hear from Ben Keene, Math PhD candidate and research computing facilitator, on how to leverage ACCESS for your research. Resources range from typical high-performance computing clusters, GPU-equipped virtual machines, and free LLM inference service of select open-weight models.<br><br>This event is not being recorded. Any materials provided by the presenter will be sent to all registrants by the end of the second business day after the conclusion of the event. Please email ResearchITEvents@ucf.edu to request access to the materials two business days after the completion of the event if you did not register.</p>
<p></p>
<p>Presented by<span>&nbsp;</span><a href="https://rci.research.ucf.edu/person/benjamin-keene/" target="_blank">Ben Keene</a></p>]]></description>
		<short_description></short_description>

		<refreshments></refreshments>
		<webpages>
			<webpage>
				<title>Event Instance url</title>
				<url>https://events.ucf.edu/event/4197448/leveraging-access-resources-for-your-research-mlai-gpus-llms/</url>
			</webpage>
		</webpages>

		<contact_person>Office of Research Cyberinfrastructure Events Team</contact_person>
		<contact_email>ResearchITEvents@ucf.edu</contact_email>
		<contact_phone></contact_phone>

		<category>Workshop/Conference</category>
		<tags>
			<tag>Machine Learning</tag><tag>Artificial Intelligence</tag><tag>ACCESS</tag><tag>research</tag><tag>GPU</tag>
		</tags>
		<registration_link><![CDATA[https://ucf.qualtrics.com/jfe/form/SV_4YkJt37LQp5zADc]]></registration_link>
		<registration_info></registration_info>

		<status>Happening As Scheduled</status>
		<classification>Public</classification>
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