Natural Language Processing (NLP)
AI technology that enables machines to understand, interpret, and generate human language.
Detailed Definition
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful. NLP combines computational linguistics with machine learning and deep learning to help machines process and analyze large amounts of natural language data. Core NLP tasks include tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, machine translation, and text summarization. Modern NLP has been revolutionized by transformer-based models like BERT and GPT, which can understand context and generate human-like text. NLP powers numerous applications including virtual assistants, chatbots, language translation services, search engines, and content analysis tools. Recent advances in NLP have led to models that can engage in sophisticated conversations, write creative content, and even assist with complex reasoning tasks. The field continues to evolve toward more multimodal approaches that combine language with other data types.
Technical CapabilitiesMore in this Category
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AI technology that enables machines to interpret and understand visual information from images and videos.
Context Window
The maximum amount of text that an AI model can process and remember in a single interaction.
Intent Recognition
The ability of AI systems to understand and classify the purpose or goal behind user inputs.
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The ability of AI agents to store and retrieve past experiences, knowledge, and conversation history to guide future actions.
Plugin (AI Agent)
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Prompt Engineering
The practice of crafting effective inputs to guide AI models toward desired outputs and behaviors.