Programming in R

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**Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. 6:30 to 8:00 pm. Main meeting and presentation(s). Topic: This month Chris Pazsint will be talking about Agentic Coding. How does one use CLI Based Agents, and Agentic IDEs such as Cursor, Kiro, Antigravity? How to include agentic coding plugins for IDEs you already love such as Visual Studio Code. We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact Central OH Python at centralohpython@gmail.com

Some trained COUNT volunteers work together once a month at RMH (http://www.rmhc-centralohio.org/volunteer.php) as Housewarmers (usually on the 1st Sunday from 1 – 5 PM). Some schedule other shifts at their convenience. You may try this out with less fuss by following a "Fast track" or go through the normal process. Fast track • Arrange a time to shadow a COUNT volunteer. Call Dave Nohle at 614-268-9558 (cell). • Show up and try it out. • Complete application, etc. later. Normal process • Complete an online application (http://rmhc-centralohio.org/volunteer/). • Attend orientation in advance. • At orientation you will complete forms agreeing to keep family/patient info private and allowing a background check and tour the facility. • Complete one training shift. Daily shifts are: morning 9 AM - 1 PM, afternoon 1 - 5 PM and evening 5 - 9 PM. • Schedule shifts online using the on the RMH scheduling system (http://www.volgistics.com/ex/portal.dll/?FROM=32895). The Ronald McDonald House (RMH) provides housing and meals for families with sick children. The Columbus RMH is the largest in the world with 137 rooms. COUNT has been volunteering there since May 2014. Housewarmers work with RMH guests to provide a home-like environment - greet, assist with family needs, answer phones, give tours, assist with checkin/checkout, prepare guest rooms after checkout, clean facility, laundry, restock supplies and staff the front desk. RMH Housewarmers volunteer at least one four-hour shift a month. All Housewarmers must complete an application and agree to a background check before they can be full fledged volunteers.

Christians in Tech is a community at the intersection of faith and technology. Our meetups are designed to spark meaningful conversations, promote knowledge sharing, and encourage growth—both in your career and your spiritual walk with God. Whether you're an experienced professional or just starting your tech journey, CIT welcomes you. Our Website [https://linktr.ee/citcbus](https://linktr.ee/citcbus) Sponsors and Partners * Improving (Venue Sponsor) * Bethel World Prayer Center (Fiscal Sponsor) * Fruits & Roots (Coffee Partner)

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.

We connect you with up to 30 Men or Women tennis partners close to your PLAYING REGION and skill level. This program is less competitive, no champions crowned, no league standings just dedicated tennis partners who want to meet up with you on the courts. Players will meet up to play a tennis match or just to hit around. Just go through the [Join Page](https://www.tenniscolumbus.com/partner-program) to enter this program. [https://www.tenniscolumbus.com/partner-program](https://www.tenniscolumbus.com/partner-program)

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.