Orlando Code Camp

Event Details

Orlando Code Camp

Time: March 22, 2014 all day
Location: Seminole State College
City/Town: Orlando
Website or Map: http://orlandocc.co
Event Type: confrence
Organized By: Orlando Code Camp
Latest Activity: Mar 21, 2014

Export to Outlook or iCal (.ics)

Event Description

orlando code camp - 3.22.14
The 9th annual Orlando Code Camp will be held at Seminole State College on Saturday, March 22nd, 2014!
As always, this is a free all-day event made possible by our awesome sponsors, speakers, and volunteers. If you have any questions about the event please contact community@onetug.org
session information
This year's event is packed with a lot more technology than ever. In addition to our great Microsoft topics, we have a lot of sessions covering JavaScript, iOS, Android, Agile, gadgets, and more!
agenda
All sessions are in and the schedule is ready! We have an awesome lineup of speakers and sessions that will make this year's code camp an event that you won't want to miss!
hotel info
We've made arrangements with the Orlando Marriott Lake Mary for $82/night.

Comment Wall

Comment

RSVP for Orlando Code Camp to add comments!

Join Codetown

Attending (2)

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Transformers v5 Introduces a More Modular and Interoperable Core

Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs.

By Robert Krzaczyński

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.

By Sergio De Simone

Lyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach

Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies.

By Eran Stiller

AWS Transform Custom Tackles Technical Debt

AWS Transform Custom revolutionizes code modernization with AI-driven, out-of-the-box transformations for Java, Node.js, and Python. This enterprise-focused tool accelerates application upgrades by up to 5x while learning from organizational nuances to deliver high-quality, repeatable transformations.

By Steef-Jan Wiggers

Article: Trustworthy Productivity: Securing AI Accelerated Development

Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.

By Sriram Madapusi Vasudevan

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service