Browsing: ML News
Artificial Intelligence (AI) is significantly developing at a pace that is transforming many different industries. AI agents created to automate and simplify many parts of business…
Large Language Models (LLMs) have revolutionized problem-solving in machine learning, shifting the paradigm from traditional end-to-end training to utilizing pretrained models with carefully crafted prompts. This…
Reinforcement learning (RL) is a specialized branch of artificial intelligence that trains agents to make sequential decisions by rewarding them for performing desirable actions. This technique…
Ensuring the safety of increasingly powerful AI systems is a critical concern. Current AI safety research aims to address emerging and future risks by developing benchmarks…
Artificial intelligence (AI) applications have become increasingly complex, often involving multiple interconnected tasks and components. These systems can include elements such as data loaders, language models,…
Kolmogorov-Arnold Networks (KANs) have emerged as a promising alternative to traditional Multi-Layer Perceptrons (MLPs). Inspired by the Kolmogorov-Arnold representation theorem, these networks utilize neurons that perform…
Multimodal artificial intelligence focuses on developing models capable of processing and integrating diverse data types, such as text and images. These models are essential for answering…
Video captioning has become increasingly important for content understanding, retrieval, and training foundation models for video-related tasks. Despite its importance, generating accurate, detailed, and descriptive video…
Deep learning has become a powerful tool for classifying pathological voices, particularly in the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale assessment. The GRBAS scale is…
Large language models (LLMs) have seen rapid advancements, making significant strides in algorithmic problem-solving tasks. These models are being integrated into algorithms to serve as general-purpose…