Experimental News Clipping Site

Tag: data provenance

  • Cloud Blog: Announcing AI Protection: Security for the AI era

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/introducing-ai-protection-security-for-the-ai-era/ Source: Cloud Blog Title: Announcing AI Protection: Security for the AI era Feedly Summary: As AI use increases, security remains a top concern, and we often hear that organizations are worried about risks that can come with rapid adoption. Google Cloud is committed to helping our customers confidently build and deploy AI…

  • Slashdot: Anthropic Builds RAG Directly Into Claude Models With New Citations API

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/27/2129250/anthropic-builds-rag-directly-into-claude-models-with-new-citations-api Source: Slashdot Title: Anthropic Builds RAG Directly Into Claude Models With New Citations API Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced a new feature called Citations for its Claude models, enhancing their ability to provide accurate and traceable responses by linking answers directly to source documents. This development…

  • Hacker News: It sure looks like Meta stole a lot of books to build its AI

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    Kurt Seifried
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    Source URL: https://lithub.com/it-sure-looks-like-meta-stole-a-lot-of-books-to-build-its-ai/ Source: Hacker News Title: It sure looks like Meta stole a lot of books to build its AI Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the implications of Meta’s use of pirated material to train its AI systems, raising significant legal and ethical concerns. It highlights ongoing…

  • Hacker News: Nvidia-Ingest: Multi-modal data extraction

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    Kurt Seifried
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    Source URL: https://github.com/NVIDIA/nv-ingest Source: Hacker News Title: Nvidia-Ingest: Multi-modal data extraction Feedly Summary: Comments AI Summary and Description: Yes Summary: The NVIDIA-Ingest microservice represents a significant advancement in multi-modal document data extraction, crucial for leveraging generative AI and machine learning applications. By effectively contextualizing and extracting diverse content types from documents, it offers enhanced performance…

  • Slashdot: AI Lab PleIAs Releases Fully Open Dataset, as AMD, Ai2 Release Open AI Models

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    Source URL: https://news.slashdot.org/story/24/11/16/0326222/ai-lab-pleias-releases-fully-open-dataset-as-amd-ai2-release-open-ai-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Lab PleIAs Releases Fully Open Dataset, as AMD, Ai2 Release Open AI Models Feedly Summary: AI Summary and Description: Yes Summary: The text outlines PleIAs’ commitment to open training for large language models (LLMs) through the release of Common Corpus, highlighting the significance of open data for LLM…

  • CSA: How CSA Research Uses the Cloud Controls Matrix

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    Source URL: https://cloudsecurityalliance.org/blog/2024/10/25/how-csa-research-uses-the-cloud-controls-matrix-to-address-diverse-security-challenges Source: CSA Title: How CSA Research Uses the Cloud Controls Matrix Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Cloud Security Alliance’s (CSA) utilization of the Cloud Controls Matrix (CCM) to enhance cloud security practices across various domains, including AI and quantum-safe security. It explores the development of…

  • Hacker News: A FLOSS platform for data analysis pipelines that you probably haven’t heard of

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    Source URL: https://arvados.org/technology/ Source: Hacker News Title: A FLOSS platform for data analysis pipelines that you probably haven’t heard of Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses the Arvados architecture, an open-source platform for managing and processing large datasets, highlighting its data storage capabilities, workflow orchestration, and security features.…

  • Hacker News: Transparency is often lacking in datasets used to train large language models

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    Source URL: https://news.mit.edu/2024/study-large-language-models-datasets-lack-transparency-0830 Source: Hacker News Title: Transparency is often lacking in datasets used to train large language models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges associated with the provenance and licensing of datasets used in training large language models (LLMs). It highlights the potential legal and ethical…