data set
PulseAugur coverage of data set — every cluster mentioning data set across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI Ethics: Disability Experiences as Training Data Under Scrutiny
Nicolas Steenhout's work, "Disability, Meta Glasses, Datasets, and MAiD," explores the ethical implications of using disability experiences as training data for AI. The piece questions the representation of individuals …
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Thordata launches web data infrastructure for AI builders
Thordata is developing web data infrastructure aimed at developers, data teams, and AI builders. Their offerings include proxies, web scraping APIs, and SERP APIs designed for practical and compliant data utilization.
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AWS uses AI to automate metadata correction and harmonization
AWS has developed an AI-powered workflow to automate the correction and harmonization of metadata, addressing the bottleneck caused by manual standardization processes. This system leverages Amazon Bedrock's large langu…
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LLM Evaluation: A Comprehensive Recap of Methods and Metrics
This article provides a comprehensive recap of Large Language Model (LLM) evaluation, covering key concepts and methods. It emphasizes the importance of various evaluation metrics and approaches, including benchmarks, d…
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New MobenFL benchmark evaluates federated learning for medical imaging
Researchers have developed MobenFL, a new benchmark designed to evaluate federated learning algorithms in medical imaging. This benchmark addresses limitations in existing systems by integrating 20 state-of-the-art algo…
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New PORTS method enhances LLM tool selection accuracy
Researchers have developed PORTS, a new method for training retrievers to better select tools for large language models (LLMs). Existing retrievers are often misaligned with LLMs due to separate training processes. PORT…
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Academic-industrial AI research collaborations yield more novel papers
A new study published on arXiv explores how the institutional background of research teams influences the novelty of academic papers in natural language processing. The research categorizes author teams into academic, i…
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New Meta-Classification Method for One-Class Classification Models Unveiled
Researchers have developed a novel meta-classification approach for one-class classification (OCC) models, treating them as normality rankings. This method utilizes nearest-neighbor and ranking-correlation metrics to cl…