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Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business Tyler Geary AWS Machine Learning Blog

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​[[{“value”:” Amazon Q Business is a generative artificial intelligence (AI)-powered assistant designed to enhance enterprise operations. It’s a fully managed service that helps provide accurate answers to users’ questions while honoring the security and access restrictions of the content. It can be tailored to your… Read More »Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business Tyler Geary AWS Machine Learning Blog

Snowflake Arctic models are now available in Amazon SageMaker JumpStart Natarajan Chennimalai Kumar AWS Machine Learning Blog

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​[[{“value”:” This post is co-written with Matt Marzillo from Snowflake. Today, we are excited to announce that the Snowflake Arctic Instruct model is available through Amazon SageMaker JumpStart to deploy and run inference. Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built… Read More »Snowflake Arctic models are now available in Amazon SageMaker JumpStart Natarajan Chennimalai Kumar AWS Machine Learning Blog

This AI Paper from ETH Zurich Introduces DINKEL: A State-Aware Query Generation Framework for Testing GDBMS (Graph Database Management Systems) Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Graph database management systems (GDBMSs) have become essential in today’s data-driven world, which requires more and more management of complex, highly interconnected data for social networking, recommendation systems, and large language models. Graph systems efficiently store and manipulate graphs to quickly retrieve data for… Read More »This AI Paper from ETH Zurich Introduces DINKEL: A State-Aware Query Generation Framework for Testing GDBMS (Graph Database Management Systems) Nikhil Artificial Intelligence Category – MarkTechPost

Interpreting Coefficients in Linear Regression Models Vinod Chugani MachineLearningMastery.com

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​[[{“value”:” Linear regression models are foundational in machine learning. Merely fitting a straight line and reading the coefficient tells a lot. But how do we extract and interpret the coefficients from these models to understand their impact on predicted outcomes? This post will demonstrate how… Read More »Interpreting Coefficients in Linear Regression Models Vinod Chugani MachineLearningMastery.com

Speculative Retrieval Augmented Generation (Speculative RAG): A Novel Framework Enhancing Accuracy and Efficiency in Knowledge-intensive Query Processing with LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The field of natural language processing has made substantial strides with the advent of Large Language Models (LLMs), which have shown remarkable proficiency in tasks such as question answering. These models, trained on extensive datasets, can generate highly plausible and contextually appropriate responses. However,… Read More »Speculative Retrieval Augmented Generation (Speculative RAG): A Novel Framework Enhancing Accuracy and Efficiency in Knowledge-intensive Query Processing with LLMs Asif Razzaq Artificial Intelligence Category – MarkTechPost

Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators Neel Sendas AWS Machine Learning Blog

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​[[{“value”:” Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently. This makes managing and deploying… Read More »Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators Neel Sendas AWS Machine Learning Blog

Code as a Catalyst: Improving LLM Capabilities Across Diverse Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have gained significant attention in recent years, with researchers focusing on improving their performance across various tasks. A critical challenge in developing these models lies in understanding the impact of pre-training data on their overall capabilities. While the importance of… Read More »Code as a Catalyst: Improving LLM Capabilities Across Diverse Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost