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# AWS Student Builders Group – Inauguration Event Join us for the official inauguration of the AWS Student Builders Group at our campus! This event marks the beginning of a new tech community focused on cloud computing, AWS technologies, innovation, and student collaboration. During the session, we will introduce the club, our core team members, and our vision for upcoming workshops, events, and opportunities. Our Faculty Advisor will also address the students and share insights about the importance of cloud technologies in today’s industry. ## What You’ll Learn * Introduction to AWS Student Builders Group * Basics of Cloud Computing & AWS * Upcoming plans, workshops, and community activities * Opportunities for students in cloud and tech domains ## Special Interaction We will also connect with student leaders and community members from different states through an online meet session, where they will share their experiences and insights with attendees. ## Event Format Hybrid Event * Offline: College Campus * Online: Guest interaction through virtual meeting Whether you are a beginner or already interested in cloud technologies, this event is a great opportunity to connect, learn, and grow with the community. 📅 Date: 2nd July ⏰ Time: 11:00 AM 📍 Venue: Oriental College of Technology We look forward to welcoming you to the community!

**Our July novel is: *Listen for the Lie* by Amy Tintera** **This month’s novel was named one of the best books of 2024. It’s a domestic thriller with crime, mystery, and murder, told from women’s perspectives. The story includes a detective, an unreliable narrator, and plenty of suspense. The book is 352 pages in print and 9 hours and 18 minutes on audiobook.** What if you thought you murdered your best friend? And if everyone else thought so too? And what if the truth doesn't matter? After Lucy is found wandering the streets, covered in her best friend Savvy’s blood, everyone thinks she is a murderer. Lucy and Savvy were the golden girls of their small Texas town: pretty, smart, and enviable. Lucy married a dream guy with a big ring and an even bigger new home. Savvy was the social butterfly loved by all, and if you believe the rumors, especially popular with the men in town. It’s been years since that horrible night, a night Lucy can’t remember anything about, and she has since moved to LA and started a new life. But now the phenomenally huge hit true crime podcast "Listen for the Lie," and its too-good looking host Ben Owens, have decided to investigate Savvy’s murder for the show’s second season. Lucy is forced to return to the place she vowed never to set foot in again to solve her friend’s murder, even if she is the one that did it. The truth is out there, if we just listen.

Main Library, Meeting Room 2B Join us for a welcoming evening of reflection, gentle music, and meaningful conversation. We’ll begin with a short grounding moment, followed by a brief reading from spiritual or philosophical traditions, and an open reflection circle where participants can share (or simply listen). Libera Animae is an interfaith community focused on inner growth, creativity, and authentic connection. All backgrounds are welcome.

Most people use LLMs by feel: ask a question, read the answer, decide whether it “seems good,” and move on. That works for casual use. It does not work when you are building software, automating workflows, writing important documents, or relying on AI for anything that needs to be repeatable. In this talk, we’ll look at how to improve and evaluate the inputs and outputs of LLMs using practical measurement techniques. We’ll cover how prompt changes affect results, how to compare outputs, how to build simple evaluation sets, and how math-based methods like similarity scoring can help you move beyond guesswork. This will be beginner-friendly, so even if you don't know anything about AI, you should get something out of it. However, this will be a little more technical than our intro talks. You do not need to be an AI researcher, but programmers and technically curious attendees will get a lot out of it. We’ll cover: * Why “it looks good” is not enough * How to improve prompts by changing the input, context, and constraints * How to compare LLM outputs more systematically * Basic evaluation techniques for accuracy, consistency, and usefulness * How embeddings, cosine similarity, and scoring can help evaluate results * Where automated evaluation works — and where humans still need to stay in the loop By the end, you’ll have a practical mental model for treating LLMs less like magic and more like systems you can test, measure, and improve. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

**Practical Curiosity: Learning from Everyday Data** How do we actually get better at utilizing our day-to-day data? Fancy dashboards and complex models might look nice and draw attention, but that’s not where most of us spend our time. In fact those shiny outputs frequently sit unused, while the real insights are drawn from the analyst’s daily practice. Sometimes it’s as simple and as powerful as noticing that a segment is shrinking, a channel is underused, or certain links keep getting all the clicks. There’s many different places that the spark of insight can come from, but you have to keep your head in the data and know where to look. In this session, we’ll explore real-world examples of how segmentation, testing, and click behavior can uncover practical digital marketing opportunities. You’ll leave with inspiration for your own use cases, along with a few simple ways to ask better questions, spot meaningful patterns, and make smarter decisions without overcomplicating it. **About Our Speaker:** [Elaine Armbruster](https://www.linkedin.com/in/elainearmbruster/) is a Director of Digital Experience at the [American Diabetes Association](https://diabetes.org/), where she focuses on using data and insights to create smarter, more effective digital experiences. A lifelong Columbus resident, she has built her career in email marketing and the broader digital user journey, and is finding she most enjoys working in the messy middle where systems, data, and big ideas don’t quite line up yet. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

Let’s meet and discuss John Updike's Rabbit, Run, the first in his series of four novels following the life, hopes, and disappointments of former local basketball star, Harry "Rabbit" Angstrom, as he fitfully confronts and evades adulthood.