​[[{“value”:” Thomson Reuters, a global content and technology-driven company, has been using artificial intelligence and machine learning (AI/ML) in its professional information products for decades. The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and advance how they do… Read More »Scaling Thomson Reuters’ language model research with Amazon SageMaker HyperPod John Duprey AWS Machine Learning Blog

​[[{“value”:” Graph-based methods have become increasingly important in data retrieval and machine learning, particularly in nearest neighbor (NN) search. NN search helps identify data points closest to a given query, which becomes critical with high-dimensional data such as text, images, or audio. Approximate nearest neighbor… Read More »iRangeGraph: A Dynamic Approach for Enhancing Range-Filtering Nearest Neighbor Search Performance Through Efficient Graph Construction and Reduced Memory Footprint in Large-Scale Data Systems Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The release of Reader-LM-0.5B and Reader-LM-1.5B by Jina AI marks a significant milestone in small language model (SLM) technology. These models are designed to solve a unique and specific challenge: converting raw, noisy HTML from the open web into clean markdown format. While seemingly… Read More »Jina AI Released Reader-LM-0.5B and Reader-LM-1.5B: Revolutionizing HTML-to-Markdown Conversion with Multilingual, Long-Context, and Highly Efficient Small Language Models for Web Data Processing Asif Razzaq Artificial Intelligence Category – MarkTechPost

​Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement  Read More  

​[[{“value”:” OpenBMB recently released the MiniCPM3-4B, the third-generation model in the MiniCPM series. This model marks a great step forward in the capabilities of smaller-scale language models. Designed to deliver powerful performance with relatively modest resources, the MiniCPM3-4B model demonstrates a range of enhancements over… Read More »MiniCPM3-4B Released by OpenBMB: A Versatile and Efficient Language Model with Advanced Functionality, Extended Context Handling, and Code Generation Capabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One important tactic for improving large language models’ (LLMs’) capacity for reasoning is the Chain-of-Thought (CoT) paradigm. By encouraging models to divide tasks into intermediate steps, much like humans methodically approach complex problems, CoT improves the problem-solving process. This method has proven to be… Read More »Strategic Chain-of-Thought (SCoT): An Unique AI Method Designed to Refine Large Language Model (LLM) Performance and Reasoning Through Strategy Elicitation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative modeling, particularly diffusion models (DMs), has significantly advanced in recent years, playing a crucial role in generating high-quality images, videos, and audio. Diffusion models operate by introducing noise into the data and then gradually reversing this process to generate data from noise. They… Read More »This AI Paper Introduces Data-Free Knowledge Distillation for Diffusion Models: A Method for Improving Efficiency and Scalability Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hebrew University Researchers addressed the challenge of understanding how information flows through different layers of decoder-based large language models (LLMs). Specifically, it investigates whether the hidden states of previous tokens in higher layers are as crucial as believed. Current LLMs, such as transformer-based models, use… Read More »Understanding the Hidden Layers in Large Language Models LLMs Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reconstructing high-fidelity surfaces from multi-view images, especially with sparse inputs, is a critical challenge in computer vision. This task is essential for various applications, including autonomous driving, robotics, and virtual reality, where accurate 3D models are necessary for effective decision-making and interaction with real-world… Read More »SuRF: An Unsupervised Surface-Centric Framework for High-Fidelity 3D Reconstruction with Region Sparsification Aswin Ak Artificial Intelligence Category – MarkTechPost