CPA Exam

Odoo Academy is a series of **one-day**, **FREE training** sessions where participants can learn directly from our **seasoned experts**. Master a specific **Odoo application** or delve into **industry-specific** functionalities. Join us in our **Columbus, OH** for hands on training in Odoo's Accounting app and take your business to the next level! Training will be given in **ENGLISH**. Lunch is **included**. Participants must bring their **OWN laptop** for the practical exercises. For any inquiries, feel free to reach out to us at ellee@odoo.com. [Register Here Now! ](https://www.odoo.com/r/8yd)**[\[](https://www.odoo.com/r/gO9)Limited Seats Available!]**

Private Group. Closed to the Public Knowing ourselves and understanding our abilities is the first step toward wielding our gifts with control and accuracy. In subsequent classes we will verify and hone our talents with activities and discussion. These are hands-on workshops and participation is expected. The goal of our series will be to develop expertise in areas of particular interest such as mediumship, channeling, divination, healing and, etc.. Our ultimate directions will be determined by class members as we evolve. I look forward to sharing and discovering with you. - Cynthia

📈 **Win on Prediction Markets – Polymarket Masterclass** Learn to read and win prediction markets consistently. Data-driven and repeatable. ⚠️ Register below to confirm — RSVP is not your ticket in. ### [🔗 REGISTER NOW](https://aiventurelab.org/product/Polymarket?city=Columbus&groupurlname=the-book-lovers-journey-discussion-group&startgmtdatetime=2026-07-07T22:00:00Z) --- What you'll learn: - Risk management techniques for prediction markets - The edge that separates profitable traders from the rest - How to read market signals others miss *The forecasters who win have a system. Get yours.* 🎯

It’s been way too long since we’ve had a night out at PBR, so let’s change that! Join us for an evening of great drink specials, live music, line dancing, and, of course, the mechanical bull. 📍 Check-In: 6:00–8:30 PM When you arrive, check in with the host and let them know you’re with Suzie or Foodies Meetup. 🍻 Happy Hour Specials (7:00–9:00 PM) * 🍒 $2 Jello Shots * 🍺 $3 Domestic Cans: Busch Light, Bud Light & Miller Lite * 🍹 $3 Well Cocktails (no doubles, Red Bull, or shots) * 🥃 $4 Select Call Liquor: Deep Eddy Vodka (including flavors), Captain Morgan, Bombay Dry Gin, Dulce Vida Blanco & Jim Beam (no doubles, Red Bull, or shots) * 🔥 $5 Select Shots: White Tea, Green Tea, Fireball, Fireball Apple & Jager Bombs * 🏖️ $5 Surfside Seltzers 🎉 Tonight’s Entertainment 🎸 Live Music: 6:30–8:30 PM 🐂 Mechanical Bull Riding: 8:30 PM–Close (FREE with a valid ID!) 💃 Line Dancing with an Instructor: 9:00–10:00 PM Whether you’re coming to dance, ride the bull, enjoy the music, or simply catch up with friends over a drink, this is the perfect night to join us. We can’t wait to see everyone there!

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/azure-cbus-2026/

You can sleep in on the Semiquincentennial (observed), we’re shifting to the following Friday. But join the local UX community for a chat and some biscuits to catch up. If you were in CA for Figma Config, tell us all the lines and you can tell me how I can animate an SVG without coding it by hand, and why I’d even want to. Thanks to the team at Nationwide of supporting the group.

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.