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Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI Meena Menon AWS Machine Learning Blog

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​[[{“value”:” Digital experience interruptions can harm customer satisfaction and business performance across industries. Application failures, slow load times, and service unavailability can lead to user frustration, decreased engagement, and revenue loss. The risk and impact of outages increase during peak usage periods, which vary by… Read More »Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI Meena Menon AWS Machine Learning Blog

Amazon SageMaker launches the updated inference optimization toolkit for generative AI Marc Karp AWS Machine Learning Blog

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​[[{“value”:” Today, Amazon SageMaker is excited to announce updates to the inference optimization toolkit, providing new functionality and enhancements to help you optimize generative AI models even faster. These updates build on the capabilities introduced in the original launch of the inference optimization toolkit (to… Read More »Amazon SageMaker launches the updated inference optimization toolkit for generative AI Marc Karp AWS Machine Learning Blog

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents Zach Marston AWS Machine Learning Blog

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​[[{“value”:” This post was written with Zach Marston and Serg Masis from Syngenta. Syngenta and AWS collaborated to develop Cropwise AI, an innovative solution powered by Amazon Bedrock Agents, to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America.… Read More »Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents Zach Marston AWS Machine Learning Blog

Google AI Releases Population Dynamics Foundation Model (PDFM): A Machine Learning Framework Designed to Power Downstream Geospatial Modeling Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Supporting the health and well-being of diverse global populations necessitates a nuanced understanding of the complex relationships between human behavior and local environments. This requires identifying vulnerable populations and optimizing resource allocation for maximum impact. Traditional methods often rely on manually curated features and… Read More »Google AI Releases Population Dynamics Foundation Model (PDFM): A Machine Learning Framework Designed to Power Downstream Geospatial Modeling Sana Hassan Artificial Intelligence Category – MarkTechPost

Google AI and UNC Chapel Hill Researchers Introduce REVTINK: An AI Framework for Integrating Backward Reasoning into Large Language Models for Improved Performance and Efficiency Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Reasoning is critical in problem-solving, allowing humans to make decisions and derive solutions. Two primary types of reasoning are used in problem-solving: forward reasoning and backward reasoning. Forward reasoning involves working from a given question towards a solution, using incremental steps. In contrast, backward… Read More »Google AI and UNC Chapel Hill Researchers Introduce REVTINK: An AI Framework for Integrating Backward Reasoning into Large Language Models for Improved Performance and Efficiency Nikhil Artificial Intelligence Category – MarkTechPost

Characterizing and Mitigating Compute Express Link (CXL) Interference in Modern Memory Systems Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Compute Express Link (CXL) emerges as an innovative technological solution addressing critical memory wall challenges in modern computing infrastructures. The interconnect technology presents a comprehensive approach to overcoming existing memory architecture limitations, offering high bandwidth density and a standardized interface for memory expansion and… Read More »Characterizing and Mitigating Compute Express Link (CXL) Interference in Modern Memory Systems Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Balancing Privacy and Robustness in NLP: A New Approach for Secure Prompt Learning in LLMs Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Recent advances in natural language processing (NLP), led by large-scale pre-trained models such as GPT-3 and BERT, have transformed text generation and sentiment analysis tasks. These models’ ability to adapt to various applications with less data has contributed to their popularity in sensitive industries… Read More »Balancing Privacy and Robustness in NLP: A New Approach for Secure Prompt Learning in LLMs Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

Liquid AI Introduces STAR: An AI Framework for the Automated Evolution of Tailored Architectures Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The development of effective AI models is crucial in deep learning research, but finding optimal model architectures remains challenging and costly. Traditional manual and automated approaches often fail to expand design possibilities beyond basic architectures like Transformers or hybrids, and the high cost of… Read More »Liquid AI Introduces STAR: An AI Framework for the Automated Evolution of Tailored Architectures Asif Razzaq Artificial Intelligence Category – MarkTechPost

This AI Paper Proposes a Novel Neural-Symbolic Framework that Enhances LLMs’ Spatial Reasoning Abilities Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In today’s world, large language models have shown great performance on various tasks and demonstrated different reasoning capabilities. This is important for advancing Artificial General Intelligence (AGI) and its use in robotics and navigation. Spatial reasoning includes quantitative aspects (e.g., distances, angles) and qualitative… Read More »This AI Paper Proposes a Novel Neural-Symbolic Framework that Enhances LLMs’ Spatial Reasoning Abilities Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost