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BeComing Circle Initiates
BeComing Circle Initiates
http://photos2.meetupstatic.com/photos/event/2/a/9/6/600_348310902.jpeg Instructor - Crow, HPS Class fee is $30 at the door or approved exchange RSVP with Advance pay of $25 (discounted) by PayPal on the web or by contacting Enchanted Elements (614) 437-2642. Reservations made directly to Enchanted Elements will be added to the class list manually not online. Private Instruction ~ Closed to the Public ~ Initiated Members Only Please come prepared for ritual. Blessings ~ Crow
Level 1 Tuesdays with Salsamante Dance Academy
Level 1 Tuesdays with Salsamante Dance Academy
Salsamante Dance Academy will be at Swerve Every Tuesday Night to share the Rhythm & Energy of Bachata & Salsa. These are Beginner Level lessons to get you comfortable and understand the two dances. Spread the Good News to all. Swerve Dance & Fitness Complex 640 Lakeview Plaza Blvd A, Worthington, OH 43085 Bachata 7pm-8pm Salsa 8pm-9pm $15 - One Lesson $20 - Both Lessons
How LLMs Like ChatGPT Actually Work and How to Build With Them
How LLMs Like ChatGPT Actually Work and How to Build With Them
**First meetup of the Columbus AI Engineering group.** We’ll kick things off with a practical, beginner-friendly discussion on: **How LLMs like ChatGPT actually work — and how to build real applications with them.** We’ll cover: * what’s actually happening under the hood (at a high level) * why LLMs behave the way they do (hallucinations, prompt sensitivity, etc.) * how people are building real systems with them today * where things break in practice This will be a **short, informal talk (\~15–20 min)** followed by open discussion and Q&A. Whether you’re an engineer, builder, or just curious about how modern AI systems work, you’re welcome to join. No slides, no fluff — just real conversation about real systems. We’ll hang out afterward and get to know each other.
Fast-paced 6 mile hike
Fast-paced 6 mile hike
DoJo (Informal Python Meeting)
DoJo (Informal Python Meeting)
**New Dojo Location!** **Draft Day Columbus** 1130 Dublin Road Columbus, OH 43215 We're going to try a new dojo location for a few weeks and see how it works Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead. We're looking for topic suggestions and people interested in presenting at our monthly meetings. To this end we've set up a survey form at [https://docs.google.com/forms/d/15eBKF1nQQ2XS5gzD4rvhVRHMBEj7lJtHuA9wXupS3Uc](https://docs.google.com/forms/d/15eBKF1nQQ2XS5gzD4rvhVRHMBEj7lJtHuA9wXupS3Uc)
Agile Coaching Circle -- IN-PERSON
Agile Coaching Circle -- IN-PERSON
Join other experienced and aspiring agile coaches and professionals to: * develop and practice your coaching skills in a peer-to-peer environment * share current successes and challenges in your work environment and get support from each other * learn from each other, build better relationships and experiment with new ideas
CBusData: The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
CBusData: The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.