基础概念

Natural Language Processing (NLP)

定义

A branch of AI that enables computers to understand, interpret, and generate human language. NLP powers applications like chatbots, translation services, sentiment analysis, and text summarization.

相关术语

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.

Transformer

The dominant neural network architecture for language, vision, and multimodal AI, introduced in the 2017 "Attention Is All You Need" paper. Transformers use self-attention to process all tokens in parallel, enabling training on internet-scale data and powering every major LLM in use today.

了解术语只是第一步，将其落地应用才是第二步。

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Natural Language Processing (NLP)

定义

相关术语

Large Language Model (LLM)

Transformer

相关服务

了解术语只是第一步，将其落地应用才是第二步。

Natural Language Processing (NLP)

定义

相关术语

Large Language Model (LLM)

Transformer

相关服务

了解术语只是第一步，将其落地应用才是第二步。