AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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iPhone 2007 [FLUX.2 Klein]
A Lora trained on photos taken with the original Apple iPhone (2007). Works with FLUX.2 Klein Base and FLUX.2 Klein. Trigger Word: Amateur Photo Download HF: https://huggingface.co/Badnerle/FLUX.2-Klein-iPhoneStyle Download CivitAI: https://civitai.com/models/2508638/iphone-2007-flux2-klein submitted by /u/Designer-Pair5773 [link] [comments]
Building a ‘Human-in-the-Loop’ Approval Gate for Autonomous Agents
In agentic AI systems , when an agent’s execution pipeline is intentionally halted, we have what is known as a state-managed interruption .
ProText: A Benchmark Dataset for Measuring (Mis)gendering in Long-Form Texts
We introduce ProText, a dataset for measuring gendering and misgendering in stylistically diverse long-form English texts. ProText spans three dimensions: Theme nouns (names, occupations, titles, kinship terms), Theme category (stereotypically male, stereotypically female, gender-neutral/non-gendered), and Pronoun category (masculine, feminine, gender-neutral, none). The dataset is designed to probe (mis)gendering in text…
Build reliable AI agents with Amazon Bedrock AgentCore Evaluations
Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool calls, inconsistent responses, and failure modes nobody anticipated during testing. The result is a gap between expected agent behavior and…