In generative AI, prompts play a crucial role in instructing the model about the user’s intentions or desired tasks. They serve as a key element in communication with the AI model, and crafting prompts appropriately is essential to obtain the desired outcomes. The role of prompts in generative AI Prompts can take the form of […]
Data privacy metric 4: the rise of the differential privacy
Generative AI Generative AI is a field within Machine Learning, encompassing algorithms capable of automatically generating new and original content. The essence of this technology lies in the computer’s ability to produce images, texts, music, etc., that are akin to real-life entities. By generating content that reflects the complexity and beauty of the real world, […]
With the advancement of technology, many companies are incorporating AI into their operations. According to ITWorld/CIO, 41% of Korean companies have already been using artificial intelligence. Furthermore, more than 10% of companies have plans to adopt within a year, indicating a positive trend toward adoption. So, in which industries is AI utilization taking the lead? […]
Smartphone manufacturers are now releasing their newest models with the adoption of AI techniques, bringing the era of living with personal AI right around the corner. But we’ve seen thousands of sci-fi movies and novels featuring threatening robots and AI, haven’t we? Furthermore, we also discussed how AI can threaten your privacy in our previous […]
AI models require sufficient amount of data to effectively train and optimize them. In this article, we will learn about how the amount of data affects AI learning and its importance. Amount of Data: Why you need to have enough data? 1. Effectiveness of learning algorithm AI models learn patterns based on training data. With […]
Synthetic data is newly created data that mimics the characteristics of original data, providing an important alternative that replicates the traits of existing datasets while solving issues such as the protection of personal information. The advancement of artificial intelligence and machine learning has enabled the creation of realistic and diverse new data. This contributes to […]
Today, we’re diving into a concept that’s the way of the powerful data protection: Differential Privacy (DP). This innovative approach ensures security and privacy of data when we share or use our data. What is Differential Privacy? Differential Privacy is a framework for sharing information about a dataset by describing the patterns of groups within […]
In the era of advanced AI technologies, the secure utilization of customer data is paramount. security and personal data protection of AI models handling sensitive information have become even more prominent issues. Among the cutting-edge tools available, Data Transformation Service (DTS) plays a crucial role in ensuring the safety and effectiveness of this process. In […]
This article is about collecting data needed to introduce AI models.