Codetown
Codetown ::: a software developer's community
All Events in First Magnitude Brewing (3)
June 10Wednesday
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GatorJUG June
June 10, 2015 from 6pm to 9pm – First Magnitude Brewing This month we'll meet at First Magnitude Brewery and have a relaxed "Open Spaces" style meeting. What is Open Spaces? That's inspired by the formal Open Spaces approach where the subjects that are mo… Organized by Michael Levin | Type: meeting
July 8Wednesday
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GatorJUG July
July 8, 2015 from 6pm to 8pm – First Magnitude Brewing It looks like we're going to have another social meeting at First Magnitude. I just got back from www.solidcon.com, so I'll have a lot to report. I know several of you are working on new projects. It… Organized by Michael Levin | Type: meeting
June 21Wednesday
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GatorLUG
June 21, 2017 from 6pm to 8pm – First Magnitude Brewing Come join the Gator Linux Users Group & talk about Linux & Open Source for a June social meeting at the First Magnitude Brewery on S. Main St. Location: 1220 Se Veitch St, Gainesville, FL Ma… Organized by Martin Smith | Type: meetup
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
QCon SF 2024 - Why ML Projects Fail to Reach Production
Wenjie Zi of Grammarly addressed the high failure rates in machine learning at QCon SF 2024, revealing challenges from misaligned business goals to poor data quality. She advocated for a "fail fast" approach and robust MLOps infrastructure, emphasizing that learning from failures can drive success. Clear objectives and rigorous practices are essential for effective implementation.
By Andrew HoblitzellQCon SF 2024 - Scale Out Batch GPU Inference with Ray
At QConSF 2024, Cody Yu presented how Anyscale’s Ray can more effectively handle scaling out batch inference. Some of the problems Ray can assist with include scaling large datasets (hundreds of GBs or more), ensuring reliability with spot and on-demand instances, managing multi-stage heterogeneous compute, and managing tradeoffs with cost and latency.
By Andrew HoblitzellTechniques and Trends in AI-Powered Search by Faye Zhang at QCon SF
At QCon SF 2024, Faye Zhang gave a talk titled Search: from Linear to Multiverse, covering three trends and techniques in AI-powered search: multi-modal interaction, personalization, and simulation with AI agents.
By Anthony AlfordWildFly 34 Adds Preview of Jakarta EE 11 and Support for Jakarta Data
The WildFly community announced the latest release of WildFly 34, emphasizing the significant changes made to the WildFly Preview. Including support for Jakarta Data 1.0, MicroProfile REST Client 4.0, and MicroProfile Telemetry 2.0. Other minor updates include ORM 6.6.x, Hibernate search 7.2, and FasterXML Jackson 2.17.
By Shaaf SyedAurora Limitless: AWS Introduces New PostgreSQL Database with Automated Horizontal Scaling
AWS has announced the general availability of Amazon Aurora PostgreSQL Limitless Database, a relational database designed to provide automated horizontal scaling. This new option can handle millions of write transactions per second and manage petabytes of data, all within a single database environment.
By Renato Losio
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