As privacy concerns grow in the data world, differential privacy (DP) is becoming a key tool for ensuring that sensitive information is protected while still enabling valuable analysis. A newer concept within this space is User-Level Differential Privacy (DP), which offers an alternative approach to protecting privacy when users contribute multiple data points to a dataset. […]
AI research and development heavily rely on vast amounts of training data, and free AI datasets play a crucial role in facilitating advancements in the field. These open-source datasets enables researchers and developers to experiment, prototype, and refine their models without incurring significant costs. However, while the availability of free datasets is essential for AI’s […]
The Importance of Generative AI Models Generative AI has rapidly evolved and is being actively utilized across various industries. Its ability to produce innovative and creative outcomes in fields such as natural language processing (NLP), image generation, and speech synthesis is gaining attention. However, to solve practical problems or enable commercial use, model optimization is […]
Standard Metrics for Synthetic Data
AI Data for Sale 1. Introduction As artificial intelligence (AI) technology rapidly advances, the demand for AI training data has surged. However, using real data for AI models has brought privacy and security concerns to the forefront. CUBIG, a leading company, addresses these challenges by offering an innovative solution called DTS (Data Transform System). This […]
AI and analytics revolutionizing industries have led to the rise of a new market: the buying and selling data, making it a powerful currency. the global data market is projected to surpass $220 billion by 2030. This immense value drives both innovation and competition as companies seek to harness the power of data for growth. […]
Recently, Retrieval Augmented Generation (RAG) models have gained significant attention in the AI field. RAG generates responses to questions by retrieving relevant information from an external database, then synthesizing it into natural language. This model is particularly effective for unstructured text data, like QA datasets, and many studies demonstrate its success in these areas. However, […]
Custom AI Data 1. Introduction The DTS (Data Transform System) is a cutting-edge solution designed to address the significant challenges associated with utilizing sensitive data in AI development and data analysis. By generating secure synthetic data, DTS allows organizations to maintain the utility of their original datasets without compromising on security or privacy. 2. Addressing […]
The Advantages of Tabular LLMs in Real-World Scenarios