AI

Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test quality. As…

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

Mathematical reasoning within artificial intelligence has emerged as a focal area in developing advanced problem-solving capabilities. AI can revolutionize scientific discovery and…

The current design of causal language models, such as GPTs, is intrinsically burdened with the challenge of semantic coherence over longer stretches…

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

Transformers have transformed artificial intelligence, offering unmatched performance in NLP, computer vision, and multi-modal data integration. These models excel at identifying patterns…

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…

In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time….

Designing autonomous agents that can navigate complex web environments raises many challenges, in particular when such agents incorporate both textual and visual…

Knowledge distillation (KD) is a machine learning technique focused on transferring knowledge from a large, complex model (teacher) to a smaller, more…