BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260615T050720Z UID:B33F5393-CB5A-4D2A-A8E5-7E2BD40E1CD4 DTSTART;TZID=America/Los_Angeles:20260715T110000 DTEND;TZID=America/Los_Angeles:20260715T140000 DESCRIPTION:AI That Works for You: Tools\, Prompts\, Privacy — and How A Warship Taught Itself History\n\nGenerative AI is everywhere — but using it effectively\, safely\, and without surrendering your data is a skill m ost people are still developing. This quarter's OEB LMAG lunch brings toge ther and local Higher Ed leader and a CIO\, two seasoned practitioners for a practical\, hands-on session on getting real value from AI tools. Roger Doering\, Professor of Engineering at Cal State East Bay\, leads the main program on leveraging generative AI effectively and safely — covering t ools\, approaches\, prompting strategies\, and critical privacy and securi ty considerations. He's joined by Mark Rowell\, CIO of the USS Hornet Muse um\, who adds a fascinating real-world dimension: what happens when you bu ild your own private LLM on a historic warship's institutional knowledge. Live demos included. Bring your questions — and your appetite.\n\nGenera tive AI tools have moved from novelty to necessity — but the gap between casual use and genuinely effective use is wide. For users with concerns a bout accuracy\, privacy\, security\, and institutional knowledge\, the pub lic-cloud nature of most AI tools raises real questions.\nThis session add resses both sides of that challenge. Roger Doering brings academic and pro fessional rigor to the question of how to get the most from generative AI — what works\, what doesn't\, and how to stay safe while doing it. Mark Rowell then demonstrates what the far end of the privacy spectrum looks li ke in practice: a fully private LLM\, built on Google's NotebookLM\, train ed on 165 sources of institutional knowledge about one of America's most h istoric naval vessels.\nTogether\, they cover the landscape from everyday AI productivity to purpose-built institutional intelligence — with plent y of time for hands-on exploration\, demos\, and the kind of frank convers ation that only happens over a good lunch.\n\nWHAT YOU'LL COVER\n\n• Gen erative AI tools landscape — what's worth your time in 2026 and why\n\n • Prompting that actually works — practical approaches and live exampl es\n\n• AI privacy and security — what you're sharing\, with whom\, an d how to protect yourself\n\n• Hands-on demos — try it yourself\, not just watch it\, so bring a laptop\n\n• The private LLM case study — ho w the USS Hornet built a closed\, curated AI from 165 institutional source s\n\n• Real-world use cases from the Hornet's deployment — docents\, e ducators\, researchers\, and visitors\n\n• Open discussion — bring you r own AI questions\, frustrations\, and experiments\n\nSpeaker(s): Roger\, Mark\, \n\nAgenda: \nOrder & Serve Lunch: 11-12\nMeeting Topic and discus sion: 12-2\n\nBldg: Golf course restaurant\, not pro shop\, Beeb's Sports Bar and Grill\, 915 Club House Drive\, Livermore\, California\, United Sta tes\, 94550\, Virtual: https://events.vtools.ieee.org/m/557251 LOCATION:Bldg: Golf course restaurant\, not pro shop\, Beeb's Sports Bar an d Grill\, 915 Club House Drive\, Livermore\, California\, United States\, 94550\, Virtual: https://events.vtools.ieee.org/m/557251 ORGANIZER:mwvavra@outlook.com SEQUENCE:45 SUMMARY:AI That Works for You & Building a Private LLM URL;VALUE=URI:https://events.vtools.ieee.org/m/557251 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin: 4.0pt 0in 10.0pt 0in\;"><strong><span style="font-size: 20.0pt\; color: #1b2a4a\;"> AI That Works for You: Tools\, Prompts\, Privacy &mdash\; and How A Warshi p Taught Itself History</span></strong></p>\n<p class="MsoNormal" style="m argin: 5.0pt 0in 5.0pt 0in\;"><span style="color: #1a1a1a\;">Generative AI is everywhere &mdash\; but using it effectively\, safely\, and without su rrendering your data is a skill most people are still developing. This qua rter's OEB LMAG lunch brings together and local Higher Ed leader and a CIO \, two seasoned practitioners for a practical\, hands-on session on gettin g real value from AI tools. Roger Doering\, Professor of Engineering at Ca l State East Bay\, leads the main program on leveraging generative AI effe ctively and safely &mdash\; covering tools\, approaches\, prompting strate gies\, and critical privacy and security considerations. He's joined by Ma rk Rowell\, CIO of the USS Hornet Museum\, who adds a fascinating real-wor ld dimension: what happens when you build your own private LLM on a histor ic warship's institutional knowledge. Live demos included. Bring your ques tions &mdash\; and your appetite.</span></p>\n<p class="MsoNormal" style=" margin: 5.0pt 0in 5.0pt 0in\;"><span style="color: #1a1a1a\;"><br></span>G enerative AI tools have moved from novelty to necessity &mdash\; but the g ap between casual use and genuinely effective use is wide. For users with concerns about accuracy\, privacy\, security\, and institutional knowledge \, the public-cloud nature of most AI tools raises real questions.<br>This session addresses both sides of that challenge. Roger Doering brings acad emic and professional rigor to the question of how to get the most from ge nerative AI &mdash\; what works\, what doesn't\, and how to stay safe whil e doing it. Mark Rowell then demonstrates what the far end of the privacy spectrum looks like in practice: a fully private LLM\, built on Google's N otebookLM\, trained on 165 sources of institutional knowledge about one of America's most historic naval vessels.<br>Together\, they cover the lands cape from everyday AI productivity to purpose-built institutional intellig ence &mdash\; with plenty of time for hands-on exploration\, demos\, and t he kind of frank conversation that only happens over a good lunch.</p>\n<p >WHAT YOU'LL COVER</p>\n<p class="MsoListParagraph" style="text-indent: -1 5.0pt\; mso-list: l0 level1 lfo1\; margin: 3.0pt 0in 3.0pt 30.0pt\;"><!-- [if !supportLists]--><span style="mso-list: Ignore\;">&bull\;<span style=" font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </spa n></span><!--[endif]--><span style="color: #1a1a1a\;">Generative AI tools landscape &mdash\; what's worth your time in 2026 and why</span></p>\n<p c lass="MsoListParagraph" style="text-indent: -15.0pt\; mso-list: l0 level1 lfo1\; margin: 3.0pt 0in 3.0pt 30.0pt\;"><!-- [if !supportLists]--><span s tyle="mso-list: Ignore\;">&bull\;<span style="font: 7.0pt 'Times New Roman '\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span><!--[endif]--><span style="color: #1a1a1a\;">Prompting that actually works &mdash\; practical approaches and live examples</span></p>\n<p class="MsoListParagraph" styl e="text-indent: -15.0pt\; mso-list: l0 level1 lfo1\; margin: 3.0pt 0in 3.0 pt 30.0pt\;"><!-- [if !supportLists]--><span style="mso-list: Ignore\;">&b ull\;<span style="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&n bsp\;&nbsp\; </span></span><!--[endif]--><span style="color: #1a1a1a\;">AI privacy and security &mdash\; what you're sharing\, with whom\, and how t o protect yourself</span></p>\n<p class="MsoListParagraph" style="text-ind ent: -15.0pt\; mso-list: l0 level1 lfo1\; margin: 3.0pt 0in 3.0pt 30.0pt\; "><!-- [if !supportLists]--><span style="mso-list: Ignore\;">&bull\;<span style="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\ ; </span></span><!--[endif]--><span style="color: #1a1a1a\;">Hands-on demo s &mdash\; try it yourself\, not just watch it\, so bring a laptop</span>< /p>\n<p class="MsoListParagraph" style="text-indent: -15.0pt\; mso-list: l 0 level1 lfo1\; margin: 3.0pt 0in 3.0pt 30.0pt\;"><!-- [if !supportLists]- -><span style="mso-list: Ignore\;">&bull\;<span style="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span><!--[endif ]--><span style="color: #1a1a1a\;">The private LLM case study &mdash\; how the USS Hornet built a closed\, curated AI from 165 institutional sources </span></p>\n<p class="MsoListParagraph" style="text-indent: -15.0pt\; mso -list: l0 level1 lfo1\; margin: 3.0pt 0in 3.0pt 30.0pt\;"><!-- [if !suppor tLists]--><span style="mso-list: Ignore\;">&bull\;<span style="font: 7.0pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span><! --[endif]--><span style="color: #1a1a1a\;">Real-world use cases from the H ornet's deployment &mdash\; docents\, educators\, researchers\, and visito rs</span></p>\n<p class="MsoListParagraph" style="text-indent: -15.0pt\; m so-list: l0 level1 lfo1\; margin: 3.0pt 0in 3.0pt 30.0pt\;"><!-- [if !supp ortLists]--><span style="mso-list: Ignore\;">&bull\;<span style="font: 7.0 pt 'Times New Roman'\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span> <!--[endif]--><span style="color: #1a1a1a\;">Open discussion &mdash\; brin g your own AI questions\, frustrations\, and experiments</span></p>\n<p cl ass="MsoNormal" style="margin: 5.0pt 0in 5.0pt 0in\;"><span style="color: #1a1a1a\;">&nbsp\;</span></p><br /><br />Agenda: <br /><p>Order &amp\; Ser ve Lunch: 11-12<br>Meeting Topic and discussion: 12-2</p> END:VEVENT END:VCALENDAR