​[[{“value”:” This post is co-written by Danilo Tommasina and Andrei Voinov from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. TR provides companies with the intelligence, technology, and human expertise they need to find trusted… Read More »How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services Andrei Voinov AWS Machine Learning Blog

​[[{“value”:” Understanding social interactions in complex real-world settings requires deep mental reasoning to infer the underlying mental states driving these interactions, known as the Theory of Mind (ToM). Social interactions are often multi-modal, involving actions, conversations, and past behaviors. For AI to effectively engage in… Read More »MuMA-ToM: A Multimodal Benchmark for Advancing Multi-Agent Theory of Mind Reasoning in AI Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has increasingly relied on vast and diverse datasets to train models. However, a major issue has arisen regarding these datasets’ transparency and legal compliance. Researchers and developers often use large-scale data without fully understanding its origins, proper attribution, or licensing terms.… Read More »DPExplorer: A Tool for Auditing and Tracing the Provenance of AI Datasets Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence, particularly the development of large language models (LLMs), has been rapidly advancing, focusing on improving these models’ reasoning capabilities. As AI systems are increasingly tasked with complex problem-solving, it is crucial that they not only generate accurate solutions but also possess the… Read More »Critic-CoT: A Novel Framework Enhancing Self-Critique and Reasoning Capabilities in Large Language Models for Improved AI Accuracy and Reliability Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has witnessed rapid advancements over the past decade, with significant strides in NLP, machine learning, and deep learning. Among the latest and most notable developments is the release of Llama-3.1-Storm-8B by Ashvini Kumar Jindal and team. This new AI model represents… Read More »Llama-3.1-Storm-8B: A Groundbreaking AI Model that Outperforms Meta AI’s Llama-3.1-8B-Instruct and Hermes-3-Llama-3.1-8B Models on Diverse Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generating image descriptions is a common requirement for applications across many industries. One common use case is tagging images with descriptive metadata to improve discoverability within an organization’s content repositories. Ecommerce platforms also use automatically generated image descriptions to provide customers with additional product… Read More »Build a generative AI image description application with Anthropic’s Claude 3.5 Sonnet on Amazon Bedrock and AWS CDK Dinesh Sajwan AWS Machine Learning Blog

​[[{“value”:” CausalLM has released miniG, a groundbreaking language model designed to bridge the gap between performance & efficiency. This innovative model stands out for its powerful capabilities and compact design, making advanced AI technology more accessible to a wider audience. As industries increasingly seek cost-effective… Read More »miniG Released by CausalLM: A Groundbreaking Scalable AI-Language Model Trained on a Synthesis Dataset of 120 Million Entries Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI)-driven applications, the ability to efficiently process and analyze large datasets is a vital capability. However, managing the… Read More »Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless Raj Ramasubbu AWS Machine Learning Blog

​[[{“value”:” The success of ANNs stems from mimicking simplified brain structures. Neuroscience reveals that neurons interact through various connectivity patterns, known as circuit motifs, which are crucial for processing information. However, most ANNs only model one or two such motifs, limiting their performance across different… Read More »CircuitNet: A Brain-Inspired Neural Network Architecture for Enhanced Task Performance Across Diverse Domains Sana Hassan Artificial Intelligence Category – MarkTechPost