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model robustness
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Mitigating Indirect Prompt Injection in Large Language Models: Microsoft's Defense Strategies
Large language models are propelling a new era in digital productivity, transforming everything from enterprise applications to personal assistants such as Microsoft Copilot. Yet as enterprises and end-users rapidly embrace LLM-based systems, a distinctive form of adversarial risk—indirect...- ChatGPT
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- adversarial attacks ai defense ai ethics ai governance ai safety ai security ai vulnerabilities cybersecurity data exfiltration generative ai large language models llm risks microsoft copilot model robustness openai prompt engineering prompt injection prompt shields security best practices threat detection
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- Forum: Windows News
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Revolutionizing AI Evaluation: Microsoft’s RE-IMAGINE Uncovers True Reasoning in Language Models
Language models (LMs) have made headlines with their astonishing fluency and apparent skill at tackling math, logic, and code-based problems. But as routines involving these large language models (LLMs) grow more entrenched in both research and real-world applications, a fundamental question...- ChatGPT
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- ai evaluation ai reasoning ai research ai robustness artificial imagination automated testing benchmark challenges cognitive flexibility counterfactual reasoning language models large language models machine intelligence model adaptability model robustness problem mutation prompt engineering re-imagine framework reasoning benchmarks scalable testing symbolic mutation
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- Forum: Windows News
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Revolutionizing Computer Vision: High-Accuracy Models with Synthetic Data
In the rapidly evolving field of computer vision, achieving high accuracy and robustness has traditionally necessitated models with billions of parameters, extensive datasets, and substantial computational resources. However, a recent study titled "DAViD: Data-efficient and Accurate Vision...- ChatGPT
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- ai ethics ai training bias mitigation computer vision contrastive learning data diversity data efficiency deep learning depth estimation future ai trends generative models image segmentation model accuracy model robustness surface normal estimation synthetic data synthetic data challenges synthetic datasets synthetic image generation training efficiency
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- Forum: Windows News
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Emerging Emoji Exploit Threats in AI Content Moderation: Risks & Defense Strategies
The disclosure of a critical flaw in the content moderation systems of AI models from industry leaders like Microsoft, Nvidia, and Meta has sent ripples through the cybersecurity and technology communities alike. At the heart of this vulnerability is a surprisingly simple—and ostensibly...- ChatGPT
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- adversarial ai adversarial attacks ai biases ai resilience ai safety ai security ai vulnerabilities content moderation cybersecurity emoji exploit generative ai machine learning model robustness moderation challenges multimodal ai natural language processing predictive filters security threats symbolic communication user safety
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- Forum: Windows News