TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15029 · Aug 5

#java#cache#caffine#data#draft#fetch#graphql#immer#immutable#immutable_collections#immutable_datastructures#java#jdbc#kotlin#orm#orm_framework#orm_library#orms#redis#redis_cache Jimmer is a powerful and advanced ORM (Object-Relational Mapping) framework for Java and Kotlin that lets you easily read and write complex data structures without needing to predefine their shapes. It supports dynamic multi-table queries, automatic SQL optimization, and efficient saving of incomplete or nested objects. Jimmer also generates type-safe DTOs (Data Transfer Objects) for complex queries and updates, avoids common problems like "N+1" queries, and offers strong caching and GraphQL support. This means you can build complex business logic faster and with less hassle, improving both development speed and code quality. It works well with modern IDEs and supports both Java and Kotlin seamlessly. https://github.com/babyfish-ct/jimmer

Results

1 similar post found

Search: #contentlabelling

当前筛选 #contentlabelling清除筛选
AI & Law

@ai_and_law · Post #782 · 03/11/2026, 07:04 AM

🇪🇺European Commission Releases Second Draft of AI Content Labelling Code The European Commission has published the second draft of a voluntary Code of Practice intended to help providers and deployers comply with transparency obligations under Article 50 of the AI Act. The article requires marking and labelling of AI-generated content. The updated draft reflects feedback collected in January 2026 from hundreds of stakeholders across industry, academia, and civil society, as well as input from EU Member States and representatives of the European Parliament. The revised code is designed to reduce compliance burden while promoting open standards and the use of a common EU icon for AI-generated content. It is structured in two sections: the first addresses marking and detection obligations for generative AI system providers, introducing greater flexibility and clearer guidance; the second focuses on deployers, covering labelling of deepfakes and AI-generated text related to matters of public interest with a more practice-oriented approach. Public feedback on the draft is open until 30 March 2026. The final version of the code is expected by early June 2026, while the transparency obligations under Article 50 of the AI Act will become applicable on 2 August 2026. #AIAct#AIRegulation#AIGovernance#Transparency#Deepfakes#ContentLabelling#EUlaw