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<p class="MsoNormal"><span style="font-size:12.0pt">Thank you, Chris, for following up on this. The use of LLM to process available data can provide new opportunities, e.g., developing a smart ELOG search on details that are normally not searched or developing
the Crew Chief/Operator Assistant. The system can also collect and process information on status of systems in the grey area (not directly monitored), like Facilities.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">It makes sense to refine requirements and collect input from the operations, by collecting information on the needs. As with any new technology, people might think in term of already available capabilities.
They need to be shown what new, out of the box capabilities might be available. <o:p>
</o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Eduard.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">-- <o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Eduard Pozdeyev<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">Director of Accelerator Operations<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">(office) 757-269-5770<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><b><span style="font-size:12.0pt;color:black">From:
</span></b><span style="font-size:12.0pt;color:black">BTeam <bteam-bounces@jlab.org> on behalf of Christopher Tennant via BTeam <bteam@jlab.org><br>
<b>Date: </b>Wednesday, January 29, 2025 at 5:40</span><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"> </span><span style="font-size:12.0pt;color:black">PM<br>
<b>To: </b>bteam@jlab.org <bteam@jlab.org><br>
<b>Subject: </b>[BTeam] LLMs to Extract Data from Logbook Entries<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">Hi all,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">I'm sending a link to a recent TN that uses large language models to extract data from images and tables in logbook entries. Some of you may be interested in the methodology while others may be
interested in the dataset of 1,860 emittance measurements extracted from the last 9 years. Both can be found here:<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><a href="https://jlabdoc.jlab.org/docushare/dsweb/View/Collection-59600">https://jlabdoc.jlab.org/docushare/dsweb/View/Collection-59600</a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">If there are other types of logbook entries that could benefit from this kind of analysis, please let me know.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">Thanks,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">chris<o:p></o:p></span></p>
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