This week's Java roundup for December 9th, 2024 features news highlighting: point releases for the Spring Framework; the first beta release of WildFly 35; Hibernate ORM 7.0.0.Beta3, Hibernate Reactive 3.0.0.Beta1 and Hibernate Validator 9.0.0.RC1; .. ...
Meta has released Llama 3.3, a multilingual large language model aimed at supporting a range of AI applications in research and industry. Featuring a 128k-token context window and architectural improvements for efficiency, the model demonstrates ...
Part of Gemini 2.0, Google has launched its new AI-based coding assistant in closed preview. Dubbed "Jules", the assistant aims at helping developers to work with Python and JavaScript issues and pull requests, handle bug fixes, and other related ...
Ahead of re:Invent, AWS has announced that Amazon CloudFront now supports Anycast static IPs, providing a dedicated set of IP addresses for connecting to all CloudFront edge locations worldwide. Additionally, the new VPC origins feature enables ...
LangChain presented the State of AI Agents where they examined the current state of AI agent adoption across industries, gathering insights from over 1,300 professionals, including engineers, product managers, and executives. The findings provide a . ...
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Erez Kaminski about the challenges and importance of developing regulated software for safety-critical systems, emphasizing the need for validated DevOps and AI integration in . ...
Google DeepMind has introduced Gemini 2.0, an AI model that outperforms its predecessor, Gemini 1.5 Pro, with double the processing speed. The model supports complex multimodal tasks, combining text, images, and other inputs for advanced reasoning. . ...
QA professionals are increasingly turning to AI to address the growing complexities of software testing. AI-driven automation can improve test coverage, reduce test cycle times, and enhance the accuracy of results, leading to faster software releases ...
Lin Sun discusses the choice between sidecar-less or sidecar, when to consider a sidecar-less implementation, how to migrate between these data plan options, what are the implications.