Conversational AI is now a cornerstone of technology, but achieving fast, efficient, and real-time interaction remains challenging. Latency—the delay between input and response—limits applications ...

Recent advancements in Large Language Models (LLMs) have demonstrated exceptional natural language understanding and generation capabilities. Research has explored the unexpected abilities of LLMs ...

Generative diffusion models have revolutionized image and video generation, becoming the foundation of state-of-the-art generation software. While these models excel at handling complex ...

Quantization is an essential technique in machine learning for compressing model data, which enables the efficient operation of large language models (LLMs). As the size and complexity of these models ...

Large Language Models (LLMs) have emerged as powerful tools in natural language processing, yet understanding their internal representations remains a significant challenge. Recent breakthroughs using ...

Escalation in AI implies an increased infrastructure expenditure. The massive and multidisciplinary research exerts economic pressure on institutions as high-performance computing (HPC) costs an arm ...

In recent times, large language models (LLMs) built on the Transformer architecture have shown remarkable abilities across a wide range of tasks. However, these impressive capabilities usually come ...

In the rapidly evolving world of artificial intelligence and machine learning, the demand for powerful, flexible, and open-access solutions has grown immensely. Developers, researchers, ...

In the rapidly evolving world of artificial intelligence and machine learning, the demand for powerful, flexible, and open-access solutions has grown immensely. Developers, researchers, ...