​[[{“value”:” Problem Addressed ColBERT and ColPali address different facets of document retrieval, focusing on improving efficiency and effectiveness. ColBERT seeks to enhance the effectiveness of passage search by leveraging deep pre-trained language models like BERT while maintaining a lower computational cost through late interaction techniques.… Read More »Comparative Analysis: ColBERT vs. ColPali Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. As LLMs grow more powerful, they require sophisticated methods to optimize their performance during inference. Inference-time techniques… Read More »Archon: A Machine Learning Framework for Large Language Model Enhancement Using Automated Inference-Time Architecture Search for Improved Task Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” SK Telecom (SKT), South Korea’s leading telecommunications company serving 30 million customers, is at the forefront of AI innovation. In line with its AI Pyramid Strategy, which aims to unlock AI’s potential for anyone, anywhere, anytime, SKT has collaborated with the AWS Generative AI… Read More »SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock Sungmin Hong AWS Machine Learning Blog

​[[{“value”:” Amazon Rufus is a shopping assistant experience powered by generative AI. It generates answers using relevant information from across Amazon and the web to help Amazon customers make better, more informed shopping decisions. With Rufus, customers can shop alongside a generative AI-powered expert that… Read More »Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day James Park AWS Machine Learning Blog

​[[{“value”:” Amazon Lookout for Vision, the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. New customers will not be able to access the service effective October 10,… Read More »Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision Tim Westman AWS Machine Learning Blog

​[[{“value”:” Large vision-language models have emerged as powerful tools for multimodal understanding, demonstrating impressive capabilities in interpreting and generating content that combines visual and textual information. These models, such as LLaVA and its variants, fine-tune large language models (LLMs) on visual instruction data to perform… Read More »SQ-LLaVA: A New Visual Instruction Tuning Method that Enhances General-Purpose Vision-Language Understanding and Image-Oriented Question Answering through Visual Self-Questioning Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers are investigating whether large language models (LLMs) can move beyond language tasks and perform computations that mirror traditional computing systems. The focus has shifted towards understanding whether an LLM can be computationally equivalent to a universal Turing machine using only its internal mechanisms.… Read More »Researchers from Google DeepMind and University of Alberta Explore Transforming of Language Models into Universal Turing Machines: An In-Depth Study of Autoregressive Decoding and Computational Universality Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of actual photos, needs sampling. The most logical and prevalent approach to this is to construct individual estimators that focus… Read More »New Neural Warp Sampling Method Enhances Photorealistic Rendering: Reducing Variance and Improving Efficiency in Complex Material Interactions Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has significantly advanced by integrating biological principles, such as evolution, into machine learning models. Evolutionary algorithms, inspired by natural selection and genetic mutation, are commonly used to optimize complex systems. These algorithms refine populations of potential solutions over generations based on fitness,… Read More »This AI Paper Introduces Diffusion Evolution: A Novel AI Approach to Evolutionary Computation Combining Diffusion Models and Evolutionary Algorithms Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent developments in generative models have paved the way for innovations in chatbots and picture production, among other areas. These models have demonstrated remarkable performance across a range of tasks, but they frequently falter when faced with intricate, multi-agent decision-making scenarios. This issue is… Read More »Generative World Models for Enhanced Multi-Agent Decision-Making Tanya Malhotra Artificial Intelligence Category – MarkTechPost