Favorite Just as APIs became the standard for integration, AI agents are transforming workflow automation through intelligent task coordination. AI agents are already enhancing decision-making and streamlining operations across enterprises. But as adoption accelerates, organizations face growing complexity in managing them at scale. Organizations struggle with observability and lifecycle management,
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Shared by AWS Machine Learning July 3, 2025
Favorite Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. This transformation is further enhanced by Retrieval Augmented Generation (RAG), a technique that allows large language models (LLMs) to reference external knowledge sources beyond their training data. RAG has gained
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Shared by AWS Machine Learning July 3, 2025
Favorite Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. These hurdles include managing complex workflows, efficiently preparing large datasets for fine-tuning, implementing sophisticated fine-tuning techniques while optimizing computational resources, consistently tracking model performance, and achieving
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Shared by AWS Machine Learning July 3, 2025
Favorite In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often spend considerable time manually gathering and analyzing this data, taking away valuable hours that could be spent on strategic initiatives. This challenge led Swisscom, Switzerland’s leading telecommunications provider, to
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Shared by AWS Machine Learning July 3, 2025
Favorite Just over 20 years ago, the EU (European Union) founded ENISA, (the EU agency for Cybersecurity). Over the years, ENISA’s role has grown significantly, and at this time the EU seeks to revise ENISA’s mandate by updating the Cybersecurity Act. The Open Source Initiative (OSI) has provided feedback on
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Shared by voicesofopensource July 3, 2025
Favorite Generative AI has been moving at a rapid pace, with new tools, offerings, and models released frequently. According to Gartner, agentic AI is one of the top technology trends of 2025, and organizations are performing prototypes on how to use agents in their enterprise environment. Agents depend on tools,
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Shared by AWS Machine Learning July 2, 2025
Favorite Organizations face the challenge to manage data, multiple artificial intelligence and machine learning (AI/ML) tools, and workflows across different environments, impacting productivity and governance. A unified development environment consolidates data processing, model development, and AI application deployment into a single system. This integration streamlines workflows, enhances collaboration, and accelerates
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Shared by AWS Machine Learning July 2, 2025
Favorite Here are Google’s latest AI updates from June 2025 View Original Source (blog.google/technology/ai/) Here.
Favorite OSI keeps growing: LinuxFr.org, the largest French-speaking community of Linux users, has officially joined the Open Source Initiative (OSI) as an Affiliate organization. This marks an important step in deepening our engagement with francophone Open Source communities and highlighting the grassroots efforts that have long supported open collaboration around
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Shared by voicesofopensource July 2, 2025
Favorite Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution
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Shared by AWS Machine Learning July 1, 2025
Shared by AWS Machine Learning July 3, 2025
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