GraphQL

We have moved to guild.host. Look us up there. https://guild.host/events/buckeye-cocoaheads-rcavwd

Our monthly PHP meetup. A virtual shindig courtesy of Zoom. Check back here for the details around 6:15 pm

**Don’t miss your opportunity to learn from a duo with over 16 years of experience combined. During this demonstration event, you can expect to learn how to direct and guide your creative vision through lighting and communication to your model. We guarantee you will leave this event feeling more confident to try new lighting set ups to match up with your anticipated outcome. Finding the right way to express your vision is key to getting your model to pose accordingly, so we got you there too! To take this even further, think about signing up for a tutorial spot following the demonstration.** ***Note: this is a demonstration event only, you will not shoot your own images. However, if you bring your camera we can test it for compatibility with the studio lights.*** **Following the demonstration will be a tutorial/coaching event - sign up separately if you are interested at** https://calendar.app.google/ZcHb4CQB2rrV3U7j9 **Save and book both for $199 (discounted from $215; the discount will be applied on the Tutorial invoice).**

You can sleep in on the Sesquicentennial (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.

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