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OpenAI enhances AI safety with new red teaming methods

AI News

This optimism is rooted in the idea that automated processes can help evaluate models and train them to be safer by recognising patterns and errors on a larger scale. These contributions aim to strengthen the process and outcomes of red teaming, ultimately leading to safer and more responsible AI implementations.

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Responsible AI is a competitive advantage

IBM Journey to AI blog

This cultivates a broader and more diverse pool of perspectives that contribute to the development of responsible AI models. The IBM AI Ethics Board highlights the opportunities for responsible AI The IBM AI Ethics Board recognizes the opportunities presented by AI while also establishing safeguards to mitigate against misuse.

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CUDA Accelerated: How CUDA Libraries Bolster Cybersecurity With AI

NVIDIA

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. NVIDIA GPUs are essential for training and deploying AI models due to their exceptional computational power. Read the NVIDIA AI Enterprise security white paper to learn more.

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Want to be a hybrid cloud winner? The recipe for XaaS success

IBM Journey to AI blog

Welcome to a new era—where the infusion of AI into every facet of operations is not just an option, but a necessity. Scaling AI for better business outcomes and impact AI has transitioned from peripheral to core business driver, demanding optimized infrastructure for high-performance AI workloads.

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Minding Your Models

DataRobot Blog

Our machine learning operations (MLOps) tool allows different stakeholders in an organization to control all production models from a single location, regardless of the environments or languages in which the models were developed or where they are deployed. For Model Management. White Paper. Download Now.

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LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs

Marktechpost

Similarly, ONNX provides an open-source format for AI models, both deep learning and traditional ML, with a current focus on the capabilities needed for inferencing. The processing time shows the total runtime for all 21 questions: Detailed information about LLMWare ’s testing methodology can be found in the white paper.

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Flailing OpenAI Calls for Ban on Chinese AI

Flipboard

In a recently published white paper , OpenAI called for US lawmakers to "coordinate a global ban" on what it calls "Chinese Communist Party aligned" AI models, such as its infamous competitor DeepSeek. Lately, it's sounding like the latter.

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