BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250418T182106Z UID:053E5B2A-86E5-42AA-9161-1BE21451F2C0 DTSTART;TZID=US/Pacific:20250416T173000 DTEND;TZID=US/Pacific:20250416T203000 DESCRIPTION:6 pm Pacific Time (PT) Prompt Engineering: Making the most out of LLMs\n\nSynopsis: Speakers are the authors of https://www.manning.com/b ooks/prompt-engineering-in-action.\n\n(There will be a raffle for five fre e books to be given away to the selected in-person attendees. All attendee s will get a special discount code to purchase the book. Other than that\, the speakers assure that the presentation will not discuss the book in an y way or form.)\n\nLLMs are in every part of our lives. They play a vital role in increasing productivity\, improving creativity\, and bridging the technology gap between different industries. Hard-to-optimize problems hav e today become when to optimize because the technology is readily availabl e. In this talk\, we will look at different aspects of Prompt Engineering\ , including templates\, techniques\, and patterns that you can use while i nteracting with models. We will also walk through advanced techniques such as RAG and show how implementing these can solve some limitations and rea l-world problems that we face today. LLMs are transforming industries by e nhancing productivity\, fostering creativity\, and bridging technological gaps. As AI capabilities expand\, the challenge is no longer whether probl ems can be optimized but how to optimize effectively. This talk explores t he principles of Prompt Engineering\, covering key templates\, techniques\ , and patterns to enhance model interactions. We will dive into advanced s trategies like Retrieval-Augmented Generation (RAG) and show their real-wo rld applications in overcoming LLM limitations.\n\nAttendees will walk awa y with actionable insights to harness the full potential of LLMs in their workflows.\n-------------------------------------------------------------- -\n\n7 pm (PT) Hands-on Workshop: Building Advanced AI Applications and Ag ents\n\nThis workshop offers a comprehensive and hands-on experience in bu ilding advanced AI applications and AI agents. We will use the state-of-th e-art Large Language Models (LLMs) and Vision Language Models(VLMs) to exp lain the process. Participants will explore practical techniques to levera ge these powerful models for tasks such as Natural Language Understanding (NLU)\, Natural Language Processing (NLP)\, decision-making\, text/image g eneration\, and task automation. This workshop enables attendees to unders tand the essential topics\, including open-source package requirements in Python\, model selection\, fine-tuning\, and integrating external data sou rces. The session covers the design and implementation of AI agents by uti lizing open-source models like Llama for tuning parameters and deploying r eal-world AI solutions. Emphasis will be placed on architecture design\, t raining optimization\, scalability\, efficiency\, and ethical consideratio ns. The workshop will adapt its use case and model selection (e.g.\, langu age agent vs. vision agent) based on the audience's background to ensure t he relevance and effectiveness of the session. By the end of the session\, participants will have the foundational knowledge and skills to effective ly create and deploy full-stack AI applications and agents tailored to the ir fields of interest.\n\nNotes:\n\n- $3 registration is mainly to prevent food wastage because of casual registrations and no-shows.\n- We are unab le to accommodate food preferences. Attendees with dietary restrictions ca n bring their own food.\n- Virtual attendees NEED NOT pay the $3 or regist er here. They can directly register on Zoom (account required) or watch di rectly on the YouTube Channel at 6 pm (California time)\n- Virtual attende es require a Zoom account (free to obtain). This requirement is to avoid Z oom bombing. Please sign in using the email address tied to your Zoom acco unt — not necessarily the one you used to register for the event.\n- By registering for this event\, you agree that IEEE and the organizers are no t liable to you for any loss\, damage\, injury\, or any incidental\, indir ect\, special\, consequential\, or economic loss or damage (including loss of opportunity\, exemplary or punitive damages). The event will be record ed and will be made available for public viewing.\n\nSpeaker(s): Dr. Vishn u S. Pendyala\, Shivendra Srivastava \, Naresh Vurukonda \, Dr. Mehdi Bahr ami\n\nAgenda: \nAll times are in California Timezone (PT)\n\n5:30 pm - 6 pm networking and pizza (for in-person attendees)\n6 pm - 7 pm Prompt Engi neering\n7 pm - 8 pm A Hands-On Workshop: Building Advanced AI Application s and Agents\n8 pm - 8:30 pm Networking and photos\n\nRoom: A1 All Hands 1 \, Bldg: A\, ServiceNow\, 2225 Lawson Lane\, Santa Clara\, California\, Un ited States\, 95054\, Virtual: https://events.vtools.ieee.org/m/476534 LOCATION:Room: A1 All Hands 1\, Bldg: A\, ServiceNow\, 2225 Lawson Lane\, S anta Clara\, California\, United States\, 95054\, Virtual: https://events. vtools.ieee.org/m/476534 ORGANIZER:pendyala@ieee.org SEQUENCE:118 SUMMARY:From Prompts to Power: A Talk on Prompt Engineering followed by A H ands-on Workshop URL;VALUE=URI:https://events.vtools.ieee.org/m/476534 X-ALT-DESC:Description: <br /><p style="text-align: right\;"><img style="fl oat: left\;" src="https://events.vtools.ieee.org/vtools_ui/media/display/9 e99b38d-e641-4bac-8dc1-330327edc5b9"></p>\n<p><em><strong>&nbsp\;6 pm Paci fic Time (PT) Prompt Engineering: Making the most out of LLMs</strong></em ></p>\n<p><em><strong>&nbsp\;Synopsis: S</strong>peakers are the authors o f &nbsp\;<a href="https://www.manning.com/books/prompt-engineering-in-acti on">https://www.manning.com/books/prompt-engineering-in-action</a>.&nbsp\; </em></p>\n<p><em>&nbsp\;(There will be a raffle for five free books to be given away to the selected in-person attendees. All attendees will get a special discount code to purchase the book. Other than that\, the speakers assure that the presentation will not discuss the book in any way or form .)</em></p>\n<p><em><strong>&nbsp\;</strong>LLMs are in every part of our lives. They play a vital role in increasing productivity\, improving creat ivity\, and bridging the technology gap between different industries. Hard -to-optimize problems have today become when to optimize because the techn ology is readily available. In this talk\, we will look at different aspec ts of Prompt Engineering\, including templates\, techniques\, and patterns that you can use while interacting with models. We will also walk through advanced techniques such as RAG and show how implementing these can solve some limitations and real-world problems that we face today. LLMs are tra nsforming industries by enhancing productivity\, fostering creativity\, an d bridging technological gaps. As AI capabilities expand\, the challenge i s no longer whether problems can be optimized but how to optimize effectiv ely. This talk explores the principles of Prompt Engineering\, covering ke y templates\, techniques\, and patterns to enhance model interactions. We will dive into advanced strategies like Retrieval-Augmented Generation (RA G) and show their real-world applications in overcoming LLM limitations.</ em></p>\n<p><em>Attendees will walk away with actionable insights to harne ss the full potential of LLMs in their workflows.</em></p>\n<hr>\n<p><stro ng><em>7 pm (PT) Hands-on Workshop:&nbsp\;</em></strong><strong>Building A dvanced AI Applications and Agents&nbsp\;</strong></p>\n<p>This workshop o ffers a comprehensive and hands-on experience in building advanced AI appl ications and AI agents. We will use the state-of-the-art Large Language Mo dels (LLMs) and Vision Language Models(VLMs) to explain the process. Parti cipants will explore practical techniques to leverage these powerful model s for tasks such as Natural Language Understanding (NLU)\, Natural Languag e Processing (NLP)\, decision-making\, text/image generation\, and task au tomation. This workshop enables attendees to understand the essential topi cs\, including open-source package requirements in Python\, model selectio n\, fine-tuning\, and integrating external data sources. The session cover s the design and implementation of AI agents by utilizing open-source mode ls like Llama for tuning parameters and deploying real-world AI solutions. Emphasis will be placed on architecture design\, training optimization\, scalability\, efficiency\, and ethical considerations. The workshop will a dapt its use case and model selection (e.g.\, language agent vs. vision ag ent) based on the audience's background to ensure the relevance and effect iveness of the session. By the end of the session\, participants will have the foundational knowledge and skills to effectively create and deploy fu ll-stack AI applications and agents tailored to their fields of interest.< /p>\n<div class="elementToProof" data-ogsc="rgb(0\, 0\, 0)">&nbsp\;</div>\ n<div class="elementToProof" data-ogsc="rgb(0\, 0\, 0)">Notes:</div>\n<div class="elementToProof" data-ogsc="rgb(0\, 0\, 0)">\n<ul>\n<li>$3 registra tion is mainly to prevent food wastage because of casual registrations and no-shows.</li>\n<li>We are unable to accommodate food preferences. Attend ees with dietary restrictions can bring their own food.</li>\n<li>Virtual attendees NEED NOT pay the $3 or register here. They can directly register on Zoom (account required) or watch directly on the YouTube Channel at 6 pm (California time)</li>\n<li>Virtual attendees require a Zoom account (f ree to obtain). This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account &mdash\; not necessarily the one you used to register for the event.</li>\n<li>By registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\, damage\, injury\, or any incidental\, indirect\, special\, consequential\, or economic loss or damage (including loss of opportunity\ , exemplary or punitive damages). The event will be recorded and will be m ade available for public viewing.</li>\n</ul>\n</div><br /><br />Agenda: < br /><div dir="ltr">All times are in California Timezone (PT)</div>\n<div dir="ltr">&nbsp\;</div>\n<div dir="ltr">5:30 pm - 6 pm networking and pizz a (for in-person attendees)</div>\n<div dir="ltr">6 pm - 7 pm&nbsp\;Prompt Engineering</div>\n<div dir="ltr">7 pm - 8 pm&nbsp\;<span data-ogsc="rgb( 0\, 0\, 0)" data-ogsb="rgb(255\, 255\, 255)">A Hands-On Workshop: Building Advanced AI Applications and Agents&nbsp\;</span></div>\n<div dir="ltr">< span data-ogsc="rgb(0\, 0\, 0)" data-ogsb="rgb(255\, 255\, 255)">8 pm - 8: 30 pm Networking and photos</span></div> END:VEVENT END:VCALENDAR