A machine learning architecture used primarily in the field of natural language processing (NLP).
Transformer models are a type of neural network architecture that has revolutionized the field of natural language processing. They are designed to process sequential data, particularly language, for tasks such as translation, summarization, and text generation, utilizing mechanisms like self-attention to understand the context and relationships in text.
Transformer models use self-attention mechanisms to weigh the significance of different parts of the input data, which is a departure from earlier sequence-based models that processed data in order.
Their ability to process words in relation to all other words in a sentence simultaneously allows for more nuanced understanding and generation of language.
A real-time communication method between customers and support agents or sales representatives via a website or application.
The ability for an AI system to understand and use the specific content of the current page when generating responses.
A system or component that enables AI agents to perform multi-step reasoning, logic, and decision-making.
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