Technical Terms– category –

What are Generative Embeddings? The Basic Concept of Generative Embeddings Generative Embeddings are a method for mapping the meaning and features of data into high-dimensional spaces using generative models. This approach allows for the...

What is a Feedback Loop in Generative AI? The Basic Concept of a Feedback Loop A feedback loop is a mechanism where the output of a system influences its own input, either reinforcing or adjusting the system's behavior. In generative AI,...

What is Conditional Generation? The Basic Concept of Conditional Generation Conditional Generation is a technique in generative models where the data generation process is guided by specific conditions or inputs. Unlike traditional gener...

What is an Autoregressive Model? The Basic Concept of Autoregressive Models An Autoregressive Model (AR Model) is a type of model used in time series data and other sequential data tasks, where current data points are predicted or genera...

What is Reinforcement Learning for Generative Models? The Basic Concept of Reinforcement Learning for Generative Models Reinforcement learning for generative models combines the principles of reinforcement learning (RL) with generative m...

メタ生成とは何か メタ生成の基本概念 メタ生成（Meta Generation）は、生成AIにおける高度な技術で、生成モデルそのものを生成する、または生成プロセスを最適化する手法を指します。つまり、単にデータを生成するだけでなく、生成の方法やモデルの構造、...

What is Beam Search? The Basic Concept of Beam Search Beam Search is a search algorithm widely used in generative AI and natural language processing (NLP) tasks, especially for sequence generation tasks such as text or speech generation....

What is Personalized Generation? The Basic Concept of Personalized Generation Personalized generation refers to the technology in generative AI that creates content tailored to individual users based on their preferences, behavior histor...

What Are Transformer Models? The Basic Idea Behind Transformer Models Transformer models revolutionized the field of neural networks when Google researchers introduced them in 2017. They've largely replaced traditional methods like RNNs ...

What is Topic Modeling? The Basic Concept of Topic Modeling Topic modeling is a technique used to automatically identify hidden topics (or themes) within large volumes of text data and generate new text based on these topics. The model a...

What is Data Augmentation? The Basic Concept of Data Augmentation Data augmentation is a technique used to artificially expand the size of a dataset by generating new data from existing data. This approach is commonly used in machine lea...

What is Zero-Shot Generation? The Basic Concept of Zero-Shot Learning and Zero-Shot Generation Zero-Shot Generation is a technique in generative AI that builds on the principles of zero-shot learning. Zero-shot learning refers to a model...

What is VAE? The Basic Concept of VAE VAE (Variational Autoencoder) is a type of generative AI model that learns the latent structure of data to generate new data. VAE is based on autoencoders, a type of neural network, but it incorporat...

What is a Transformer Decoder Model? The Basic Concept of Transformer Architecture The Transformer architecture is a widely used model in natural language processing (NLP) that leverages self-attention mechanisms to efficiently capture d...

What is StyleGAN? The Basic Concept of StyleGAN StyleGAN is a type of Generative Adversarial Network (GAN) specifically developed for generating high-quality images. Introduced by NVIDIA in 2018, StyleGAN gained significant attention, pa...