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June 19, 2024

Security Concerns Behind the Convenience of LLMs: The Extreme Double-Edged Sword (6/19)

large language models (LLMs) Recently, many people have been using LLMs like ChatGPT for their convenience. These models provide quick and accurate answers through conversational interfaces, making them highly useful for everyday tasks and information retrieval. However, behind this convenience lies a significant security concern that is often overlooked. Risk of sensitive information leakage from […]

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June 18, 2024

GraphRAG: Surpassing RAG’s Limitations and Breaking New Ground (06/16)

In recent years, advances in artificial intelligence have brought revolutionary changes to the fields of information retrieval and generation. In particular, the Retrieval-Augmented Generation (RAG) model has garnered attention for effectively combining generative and retrieval-based approaches to provide accurate and diverse answers to user queries. Businesses, in particular, are actively pushing for rapid adoption of […]

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June 17, 2024

The Remarkable Utilization of Synthetic Fashion Data in Design (6/17)

fashion data Introduction The fashion and design industry is characterized by its constant need to evolve in response to rapidly changing trends and consumer demands. In recent years, the advancement of artificial intelligence (AI) and data analytics has highlighted the importance of data in this industry. However, collecting and using real data comes with several […]

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June 13, 2024

Should Generative AI Development and Usage Proceed Without Any Security Measures? The Answer is “No.” (6/13)

In recent years, Generative AI, especially those utilizing deep learning techniques, has achieved remarkable innovations in various fields such as image generation, text writing, and music composition. However, since these Generative models ultimately learn from actual data and generate content based on it, they can cause significant issues like privacy violations, copyright infringements, and identity […]

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June 12, 2024

Federated Learning Explained: 3 Powerful Advantages of Decentralized AI

Federated learning (FL) is swiftly becoming a pivotal technology in AI. This cutting-edge method enables the training of machine learning models across various decentralized devices or servers without the need to share the local data samples. By keeping data local, FL significantly mitigates privacy risks and optimizes data efficiency across different networks. Federated Learning for […]

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June 11, 2024

Mastering Data Utilization: The Ultimate Key to Dominating the Great AI Era (6/11)

Introduction Data utilization is the cornerstone of modern artificial intelligence (AI) and machine learning models. Depending on the type of data used, the performance of AI models, the level of privacy protection, and the applicability can vary significantly. In this blog post, we’ll compare Real Data, Synthetic Data, and Differentially Private (DP) Synthetic Data, discussing […]

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June 10, 2024

Innovation and Protection: Harmonizing Large Language Models with Data Privacy (06/10)

Large Language Model

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June 7, 2024

Safeguard Your Secrets While Training AI: Differentially Private Synthetic Data to the Rescue (6/7)

Differentially Private

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June 5, 2024

Opening the Black Box of AI: The Importance of Explainable AI (06/05)

Explainable AI

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June 4, 2024

Contrastive Learning Unleashed: Transforming AI with Revolutionary Techniques (6/4)

In the dynamic landscape of AI, contrastive learning stands out as a revolutionary technique poised to redefine the capabilities of AI models in understanding and interacting with complex data sets. Unlike conventional neural network architectures, this self-supervised learning strategy offers a profound transformation in the AI sector, setting a new precedent for technological advancement in […]