HOLLISTER, Calif.—Teacher Andrea Gonzales sipped tea from an apple-adorned mug a student gave her, and mixed granola into a bowl of yogurt. It was 5:35 a.m. on a recent school day. Except for the ...
The latest Previsible benchmark results reveal a surprising drop in SEO accuracy from top AI models. TL;DR: Last year, the narrative was linear: wait for the next model drop, get better results. That ...
Microsoft (MSFT)-backed OpenAI (OPENAI) is developing a large language model dubbed Garlic to counter Google's recent gains in AI development, The Information reported. OpenAI plans to release a ...
The Indiana Fever star turned a brand partnership into a runway moment with effortless style that had fans and teammates buzzing. Sophie Cunningham knows how to turn a simple brand moment into a ...
She’s not backing down. Miami-based model Sophie Rain is raking in the millions — $80,138,033.96. Because of her fat bank account and fame, she has a laundry list of boxes men must check off if they ...
Google has expanded its Agent Development Kit (ADK) for Java to support a wider range of large language models (LLMs) through integration with the LangChain4j framework, the company said in a blog ...
BEIJING, Sept 29 (Reuters) - Chinese AI developer DeepSeek has released its "experimental" latest model, which it said was more efficient to train and better at processing long sequences of text than ...
With benchmark claims and Apache 2.0 licensing, it challenges Western rivals while raising fresh questions for enterprise adoption. Alibaba is taking direct aim at US tech giants with Qwen3-Omni, a ...
Abstract: Attribute Inference Attacks (AIAs) pose a significant threat to recommendation systems (RS) by enabling adversaries to use threat models to infer sensitive user attributes like gender or ...
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...
The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
Abstract: Pedestrian Attribute Recognition (PAR) focuses on identifying various attributes in pedestrian images, with key applications in person retrieval, suspect re-identification, and soft ...
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