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Ruby On Rails Amazon Web Services

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Ruby On Rails Amazon Web Services Events Near You

Connect with your local Ruby On Rails Amazon Web Services community

0 to 1 with AI: Real Product Talks
0 to 1 with AI: Real Product Talks
**ProductTank NoVA is back!** After a brief hiatus, we are relaunching the chapter with a format that cuts out the fluff and gets straight to the reality of building. Every product feed is flooded with AI hype right now, but what does it actually look like on the ground? Instead of a polished keynote, we are hosting **0 to 1 with AI: Real Product Talks**—a "Show & Tell" featuring 3–4 lightning talks focused on the intersection of AI and product. The framing for the talks is simple: *"Here is what I'm building, and here is what I'm stuck on."* We want to look at the messy, 0-to-1 reality of integrating AI into your workflows and products. *(Want to share what you are working on? Reach out! The bar is low-pressure, just 10–12 minutes to talk about a real AI problem you are trying to solve.)* **Agenda:** * **5:30 PM - 6:00 PM:** Doors open, networking, & name tags * **6:00 PM - 6:10 PM:** Welcome + Chapter Relaunch Intro * **6:10 PM - 7:30 PM:** Lightning Talks (Three 12-min talks + 5 mins Q&A each, with a 5-min stretch break) * **7:30 PM - 8:00 PM:** Open networking * **8:00 PM:** Soft close **Location & Logistics:** Herndon Fortnightly Library (Extended Hours Meeting Room) 768 Center St, Herndon, VA 20170 * **Parking:** We'll meet at the library, located just behind the Herndon Municipal Center. There is plenty of free public parking available around the municipal center. * **Metro & Bus:** Take the Silver Line to Herndon Metro Station, then connect via Fairfax Connector Route 921 or 950 to Historic Downtown Herndon. * **Driving (via VA-267/Dulles Toll Rd):** Take Exit 10 North (Centreville Rd, which becomes Elden St). Turn left onto Station St or Lynn St. * **Driving (via VA-286/Fairfax Co Pkwy):** Take the Elden St West exit. Turn right onto Lynn St. Looking forward to seeing everyone again and getting back to building!
Come Sing With the Jubil-Aires!
Come Sing With the Jubil-Aires!
**Come Sing With the Fairfax Jubil-Aires!** Do you enjoy singing along to your favorite songs? Curious what it’s like to sing rich four-part harmony with a friendly group? Come visit the weekly rehearsal of the Fairfax Jubil-Aires and see what barbershop singing is all about! The Fairfax Jubil-Aires are a welcoming mixed a cappella chorus that performs classic and contemporary barbershop harmony. Our members come from all kinds of musical backgrounds—some have years of experience, while others simply love to sing. What we all share is a passion for music, laughter, and community. Visitors are always welcome at our weekly rehearsals. You can sit back and observe, or jump right in and sing with us—no pressure either way. You don’t need to read music, and there’s no audition required just to visit. We rehearse **Wednesday evenings at 7:00 PM in Fairfax**, and we’d love to have you stop by and check it out.
Evening Social
Evening Social
Join us for snacks and drinks at the American Legion in Annandale. Meet new friends and learn about service projects we are helping with and planning.
Domain-Specific Small Language Models
Domain-Specific Small Language Models
Join us for another session of our study group as we continue our coverage of the book Domain-Specific Small Language Models. In this session, we will attempt to cover Chapters 13 on "Creating end-to-end applications", which explores RAG and Agents and Chapter 14, on "Advanced Components for LLM Applications", which explores GraphRAG. This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to continue to learn together. If you plan to work with the code on your own laptop during the session, try and download the code from here https://github.com/virtualramblas/Domain-Specific-Small-Language-Models ahead of time.
Team Lansdowne Team Training
Team Lansdowne Team Training
Learn all things Data Science and Compete on Kaggle
Learn all things Data Science and Compete on Kaggle
We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)