The Role of Large Language Models (LLMs) in Interactive AI Interactive AI systems have rapidly evolved in recent years, thanks to advancements in artificial intelligence (AI) technology. These systems primarily use large language models (LLMs) and retrieval-augmented generation (RAG) techniques to provide more sophisticated and useful conversations. In this article, we’ll explain the roles of […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
Large Language Model
Differentially Private