Multimodal AI models are powerful tools capable of both understanding and generating visual content. However, existing approaches often use a single visual encoder for both tasks, which leads to ...

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These... Zyphra has officially released Zamba2-7B, a ...

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These... Zyphra has officially released Zamba2-7B, a ...

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These... Zyphra has officially released Zamba2-7B, a ...

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These... Zyphra has officially released Zamba2-7B, a ...

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. However, ensuring their responsible behavior through safety alignment ...

Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance ...

The most serious challenge regarding IGNNs relates to slow inference speed and scalability. While these networks are effective at capturing long-range dependencies in graphs and addressing ...

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs ...

Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next ...