In the past two years, if you were to name the most talked-about generative model, many would point to ChatGPT. Initially, its outstanding performance captivated both users and researchers. However, t
AI systems can exhibit significant ethical issues due to gender and racial biases, which stem from the data collection and processing phases and can lead to serious decision-making errors. Gender Bias
Data privacy is one of the most important factor in data analysis. If you fail to keep it, you will not only lose the trust of your customers, but you can also face serious legal consequences. Data le
Synthetic data In the era of AI, data stands as a monumental asset. With advancements in deep learning, AI performance heavily relies on the quantity and quality of data. However, harnessing data pose
Media Synthetic Data The entertainment industry, considered pivotal in media, is undergoing rapid transformation through data-driven decision-making. At the heart of this evolution lies ‘Synthet
Chain of Thought
Introduction to Deepfake Deepfake Technology and Its Challenges Deepfake utilizes artificial intelligence (AI) technologies to realistically manipulate faces, voices, and actions of people. Recognizin
How confident are you in your understanding of data privacy? Even if you’re not a privacy professional, it’s crucial to grasp the key concepts in order to keep up with this ever data-driven era. H
Renewable energy Introduction The use of renewable energy sources such as hydrogen energy and solar energy is accelerating. In this context, data analysis is becoming increasingly important in determi
Machine unlearning is a process of removing the influence of specific datasets from an ML system. Introducing a framework that strategically limits the impact of data points during the learning proces
Introduction Today, LLMs (Large Language Models) are frequently used to enhance company operations. LLMs can be invaluable tool for company staff, enabling them to quickly find and use necessary opera
The Importance of Multimodal Data Multimodal data encompasses various types of information (e.g., text, images, audio) and is crucial in enhancing the recognition capabilities of deep learning models
Data Market