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What is Privacy-enhancing technologies?

Privacy-enhancing technologies (PETs) are tools and techniques designed to protect users' personal information while enabling data analysis and processing. These include differential privacy, homomorphic encryption, and secure multi-party computation, commonly used in AI, analytics, and regulatory compliance.

GPT (generative pre-trained transformer)
GPT (Generative Pre-trained Transformer) is a deep learning model developed to generate human-like text based on input prompts. It uses transformer architectures to predict words and generate coherent, context-aware sentences, widely applied in chatbots, content creation, and AI-driven automation.
AI safety
AI safety focuses on ensuring that artificial intelligence systems operate reliably and do not pose unintended risks to humans. This includes preventing harmful behaviors, aligning AI goals with human values, and developing fail-safe mechanisms.
Deep learning speech synthesis
Deep learning speech synthesis is an AI-driven technique that generates human-like speech from text. It utilizes deep neural networks, such as transformers and recurrent neural networks (RNNs), to produce natural-sounding voices for applications like virtual assistants, text-to-speech software, and automated customer service.

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