AI

Video generation has improved with models like Sora, which uses the Diffusion Transformer (DiT) architecture. While text-to-video (T2V) models have advanced, they…

Large Multimodal Models (LMMs) excel in many vision-language tasks, but their effectiveness needs to improve in cross-cultural contexts. This is because they…

Neural networks have become foundational tools in computer vision, NLP, and many other fields, offering capabilities to model and predict complex patterns….

LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like…

Large Language Models (LLMs), trained on extensive datasets and equipped with billions of parameters, demonstrate remarkable abilities to process and respond to…

Large Language Models (LLMs) have significantly advanced natural language processing, but tokenization-based architectures bring notable limitations. These models depend on fixed-vocabulary tokenizers…

Neural networks face significant challenges in generalizing to out-of-distribution (OOD) data that deviates from the in-distribution (ID) training data. This generalization problem…

As more companies use artificial intelligence (AI) in their technical operations, it becomes increasingly important to guarantee that AI systems adhere to…

Ensuring the quality and stability of Large Language Models (LLMs) is crucial in the continually changing landscape of LLMs. As the use…

Open-source cloud security posture management (CSPM) tools enable continuous monitoring, assessment, and management of your cloud environments, such as Infrastructure as a…