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Deep Reinforcement Learning

Meet other local people interested in Deep Reinforcement Learning: share experiences, inspire and encourage each other! Join a Deep Reinforcement Learning group.
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Deep Reinforcement Learning Events Near You

Connect with your local Deep Reinforcement Learning community

ServiceNow AI Deep Dive: Hands-On Learning Session
ServiceNow AI Deep Dive: Hands-On Learning Session
We're planning a hands-on technical session focused on building AI solutions in ServiceNow - think skills, agents, and real-world use cases. If you’re curious about AI on the platform, RSVP now and stay tuned for more details. Let's build together!
Stop Guessing: How to Measure and Improve LLM Outputs
Stop Guessing: How to Measure and Improve LLM Outputs
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.
NFT AI ART Columbus
NFT AI ART Columbus
NFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.
Yarn Social at Northwest Library
Yarn Social at Northwest Library
If you enjoy knitting, crocheting, working with yarn, this is the group for you. Meet new friends, bring your projects, learn from others.
We normally meet a few times a month during the week from 6-8pm. We will occasionally meet on weekends during daytime hours.
IxDA Chat n Pancakes
IxDA Chat n Pancakes
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.
Pop-up Book Club 5: Rabbit, Run by John Updike
Pop-up Book Club 5: Rabbit, Run by John Updike
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.