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