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CISA Warns of Actively Exploited Critical Oracle Identity Manager Zero-Day Vulnerability The Hacker Newsinfo@thehackernews.com (The Hacker News)

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Friday added a critical security flaw impacting Oracle Identity Manager to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of active exploitation. The vulnerability in question is CVE-2025-61757 (CVSS score: 9.8), a case of missing authentication for a critical function that can result in pre-authenticated Read More 

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Perplexity AI Releases TransferEngine and pplx garden to Run Trillion Parameter LLMs on Existing GPU Clusters MarkTechPost

Perplexity AI Releases TransferEngine and pplx garden to Run Trillion Parameter LLMs on Existing GPU Clusters MarkTechPost

Perplexity AI Releases TransferEngine and pplx garden to Run Trillion Parameter LLMs on Existing GPU ClustersMarkTechPost How can teams run trillion parameter language models on existing mixed GPU clusters without costly new hardware or deep vendor lock in? Perplexity’s research team has released TransferEngine and the surrounding pplx garden toolkit as open source infrastructure for large language model systems. This provides a way to run models with up to 1 trillion
The post Perplexity AI Releases TransferEngine and pplx garden to Run Trillion Parameter LLMs on Existing GPU Clusters appeared first on MarkTechPost.

 How can teams run trillion parameter language models on existing mixed GPU clusters without costly new hardware or deep vendor lock in? Perplexity’s research team has released TransferEngine and the surrounding pplx garden toolkit as open source infrastructure for large language model systems. This provides a way to run models with up to 1 trillion
The post Perplexity AI Releases TransferEngine and pplx garden to Run Trillion Parameter LLMs on Existing GPU Clusters appeared first on MarkTechPost. Read More  

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Top 7 Open Source AI Coding Models You Are Missing Out On KDnuggets

Top 7 Open Source AI Coding Models You Are Missing Out On KDnuggets

Top 7 Open Source AI Coding Models You Are Missing Out OnKDnuggets Stop sending your code to OpenAI or Anthropic. Run these 7 top-tier open-source coding models locally for privacy, control, and zero API costs.

 Stop sending your code to OpenAI or Anthropic. Run these 7 top-tier open-source coding models locally for privacy, control, and zero API costs. Read More  

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Generative AI Will Redesign Cars, But Not the Way Automakers Think Towards Data Science

Generative AI Will Redesign Cars, But Not the Way Automakers ThinkTowards Data Science Traditional manufacturers are using revolutionary technology for incremental optimization instead of fundamental re-imagination
The post Generative AI Will Redesign Cars, But Not the Way Automakers Think appeared first on Towards Data Science.

 Traditional manufacturers are using revolutionary technology for incremental optimization instead of fundamental re-imagination
The post Generative AI Will Redesign Cars, But Not the Way Automakers Think appeared first on Towards Data Science. Read More  

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Streamline AI operations with the Multi-Provider Generative AI Gateway reference architecture Artificial Intelligence

Streamline AI operations with the Multi-Provider Generative AI Gateway reference architecture Artificial Intelligence

Streamline AI operations with the Multi-Provider Generative AI Gateway reference architectureArtificial Intelligence In this post, we introduce the Multi-Provider Generative AI Gateway reference architecture, which provides guidance for deploying LiteLLM into an AWS environment to streamline the management and governance of production generative AI workloads across multiple model providers. This centralized gateway solution addresses common enterprise challenges including provider fragmentation, decentralized governance, operational complexity, and cost management by offering a unified interface that supports Amazon Bedrock, Amazon SageMaker AI, and external providers while maintaining comprehensive security, monitoring, and control capabilities.

 In this post, we introduce the Multi-Provider Generative AI Gateway reference architecture, which provides guidance for deploying LiteLLM into an AWS environment to streamline the management and governance of production generative AI workloads across multiple model providers. This centralized gateway solution addresses common enterprise challenges including provider fragmentation, decentralized governance, operational complexity, and cost management by offering a unified interface that supports Amazon Bedrock, Amazon SageMaker AI, and external providers while maintaining comprehensive security, monitoring, and control capabilities. Read More  

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Deploy geospatial agents with Foursquare Spatial H3 Hub and Amazon SageMaker AI Artificial Intelligence

Deploy geospatial agents with Foursquare Spatial H3 Hub and Amazon SageMaker AI Artificial Intelligence

Deploy geospatial agents with Foursquare Spatial H3 Hub and Amazon SageMaker AIArtificial Intelligence In this post, you’ll learn how to deploy geospatial AI agents that can answer complex spatial questions in minutes instead of months. By combining Foursquare Spatial H3 Hub’s analysis-ready geospatial data with reasoning models deployed on Amazon SageMaker AI, you can build agents that enable nontechnical domain experts to perform sophisticated spatial analysis through natural language queries—without requiring geographic information system (GIS) expertise or custom data engineering pipelines.

 In this post, you’ll learn how to deploy geospatial AI agents that can answer complex spatial questions in minutes instead of months. By combining Foursquare Spatial H3 Hub’s analysis-ready geospatial data with reasoning models deployed on Amazon SageMaker AI, you can build agents that enable nontechnical domain experts to perform sophisticated spatial analysis through natural language queries—without requiring geographic information system (GIS) expertise or custom data engineering pipelines. Read More  

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Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB Towards Data Science

Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDBTowards Data Science How I learned to handle growing datasets without slowing down my entire workflow
The post Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB appeared first on Towards Data Science.

 How I learned to handle growing datasets without slowing down my entire workflow
The post Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB appeared first on Towards Data Science. Read More  

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How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j Towards Data Science

How To Build a Graph-Based Recommendation Engine Using EDG and Neo4jTowards Data Science Use a shared taxonomy to connect RDF and property graphs—and power smarter recommendations with inferencing
The post How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j appeared first on Towards Data Science.

 Use a shared taxonomy to connect RDF and property graphs—and power smarter recommendations with inferencing
The post How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j appeared first on Towards Data Science. Read More