In recent years, Generative AI, especially those utilizing deep learning techniques, has achieved remarkable innovations in various fields such as image generation, text writing,…
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…
Introduction Data utilization is the cornerstone of modern artificial intelligence (AI) and machine learning models. Depending on the type of data used, the performance…
In particular, the emergence of large language models (LLMs) has brought about a revolution in the field of natural language processing (NLP).
Yet, the necessity to use real, sensitive data for training these models often leads to a paradox: the desire to leverage data effectively while…
In ethical terms, explainable AI helps prevent AI systems from making biased or discriminatory decisions.
In the dynamic landscape of AI, contrastive learning stands out as a revolutionary technique poised to redefine the capabilities of AI models in understanding…
A Large Language Model (LLM) is an AI model that learns from vast amounts of text data to understand and generate human-like language.
Our company provides high-quality security-applied synthetic data with diversity, reliability, and resemblance to real data.
Ensuring privacy while maintaining data utility is a significant challenge. Traditional de-identification methods have been used to protect personal information, but they often fall…
Retrieval Augmented Generation (RAG) is a cutting-edge natural language processing (NLP) technology that combines the strengths of retrieval-based models and generation-based models to enable…
AI has been evolving from computers to smartphones, with each leap bringing us closer to smarter, more efficient technology. “On-device AI” is behind all…
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