Multi-Head Attention is a mechanism that allows a model to focus on different parts of an input sequence simultaneously, enhancing its ability to capture diverse contextual relationships. By employing multiple attention heads, it enables the model to learn multiple representations of the input data, improving performance in tasks like translation and language modeling.

Multi-Head Attention

A mechanism is a system of parts working together in a machine or process, often used to explain how something functions or operates. In scientific and philosophical contexts, it refers to the underlying processes or structures that produce a particular outcome or behavior.

mechanism

A model is an abstract representation or simulation of a system, process, or concept that is used to understand, predict, or control its behavior. Models can be mathematical, computational, or physical, and are essential in fields like science, engineering, and economics for analyzing complex systems and testing hypotheses.

model

input sequence

diverse contextual relationships

attention heads

multiple representations

input data

Performance refers to the execution of a task or function and the level of success achieved in doing so, often measured against predefined standards or objectives. It is a multifaceted concept encompassing efficiency, effectiveness, and productivity across various domains, including individual, organizational, and technological contexts.

performance

Translation is the process of converting text or speech from one language into another, ensuring that the meaning and context are preserved. It requires a deep understanding of both the source and target languages, as well as cultural nuances and idiomatic expressions.

translation

Language modeling is the task of predicting the next word in a sequence, a fundamental aspect of natural language processing that underpins many applications like text generation and machine translation. It involves understanding and generating human language by learning probabilistic models from large corpora of text data.

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