​[[{“value”:” Artificial intelligence (AI) has given rise to powerful models capable of performing diverse tasks. Two of the most impactful advancements in this space are Retrieval-Augmented Generation (RAG) and Agents, which play distinct roles in improving AI-driven applications. However, the emerging concept of Agentic RAG… Read More »RAG, AI Agents, and Agentic RAG: An In-Depth Review and Comparative Analysis of Intelligent AI Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer models have revolutionized sequence modeling tasks, but their standard attention mechanism faces significant challenges when dealing with long sequences. The quadratic complexity of softmax-based standard attention hinders the efficient processing of extensive data in fields like video understanding and biological sequence modeling. While… Read More »Gated Slot Attention: Advancing Linear Attention Models for Efficient and Effective Language Processing Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has significantly enhanced complex reasoning tasks, particularly in specialized domains such as mathematics. Large Language Models (LLMs) have gained attention for their ability to process large datasets and solve intricate problems. The mathematical reasoning capabilities of these models have vastly improved over… Read More »ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Whale species produce a wide range of vocalizations, from very low to very high frequencies, which vary by species and location, making it difficult to develop models that automatically classify multiple whale species. By analyzing whale vocalizations, researchers can estimate population sizes, track changes… Read More »Google AI Researchers Introduce a New Whale Bioacoustics Model that can Identify Eight Distinct Species, Including Multiple Calls for Two of Those Species Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine Learning in Membrane Science:ML significantly transforms natural sciences, particularly cheminformatics and materials science, including membrane technology. This review focuses on current ML applications in membrane science, offering insights from both ML and membrane perspectives. It begins by explaining foundational ML algorithms and design… Read More »Advancing Membrane Science: The Role of Machine Learning in Optimization and Innovation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges. Specifically, as models grow larger, they require vast computational resources… Read More »Microsoft Releases GRIN MoE: A Gradient-Informed Mixture of Experts MoE Model for Efficient and Scalable Deep Learning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The release of the FC-AMF-OCR Dataset by LightOn marks a significant milestone in optical character recognition (OCR) and machine learning. This dataset is a technical achievement and a cornerstone for future research in artificial intelligence (AI) and computer vision. Introducing such a dataset opens… Read More »LightOn Released FC-AMF-OCR Dataset: A 9.3 Million Images Dataset of Financial Documents with Full OCR Annotations Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are increasingly used in domains requiring complex reasoning, such as mathematical problem-solving and coding. These models can generate accurate outputs in several domains. However, a crucial aspect of their development is their ability to self-correct errors without external input, intrinsic… Read More »Google DeepMind Introduced Self-Correction via Reinforcement Learning (SCoRe): A New AI Method Enhancing Large Language Models’ Accuracy in Complex Mathematical and Coding Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Personalization is essential in many language tasks, as users with similar needs may prefer different outputs based on personal preferences. Traditional methods involve fine-tuning language models for each user, which is resource-intensive. A more practical approach uses retrieval-based systems to customize outputs by referencing… Read More »Persona-Plug (PPlug): A Lightweight Plug-and-Play Model for Personalized Language Generation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The development of Artificial Intelligence (AI) models, especially in specialized contexts, depends on how well they can access and use prior information. For example, legal AI tools need to be well-versed in a broad range of previous cases, while customer care chatbots require specific… Read More »Contextual Retrieval: An Advanced AI Technique that Reduces Incorrect Chunk Retrieval Rates by up to 67% Tanya Malhotra Artificial Intelligence Category – MarkTechPost