アーキテクチャ

Transformer

定義

A neural network architecture that uses self-attention mechanisms to process sequential data. Transformers are the foundation of modern LLMs and have revolutionized NLP by enabling parallel processing and capturing long-range dependencies.

関連用語

Large Language Model (LLM)

AI models trained on vast amounts of text data that can understand and generate human-like text. Examples include GPT-4, Claude, and Llama. LLMs power modern chatbots, content generation, and code assistance tools.

Deep Learning

A subset of machine learning based on artificial neural networks with multiple layers. Deep learning can learn complex patterns from large amounts of data and is particularly effective for image recognition, speech processing, and natural language understanding.

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