AiVibeNatural Language Processing (NLP)
Natural language processing (NLP) is the field of AI concerned with enabling computers to understand, interpret and generate human language, covering tasks such as classification, entity extraction, translation, summarisation and question answering.
NLP evolved from rule-based systems and statistical models to word embeddings and recurrent networks, and then to transformers and large language models, which can now handle many tasks with a single model. Classic tasks include tokenisation, part-of-speech tagging, named entity recognition, sentiment analysis, text classification, machine translation, summarisation and question answering.
In industry, NLP classifies and routes support tickets and emails, extracts entities from maintenance logs, contracts and invoices, searches technical documentation, analyses customer feedback and translates procedures. Smaller task-specific models remain useful where cost, latency or privacy rule out large models.
Domain jargon, abbreviations and shorthand in maintenance notes, multiple languages and text that mixes languages challenge general models. Performance is measured with task metrics such as F1 score for extraction or BLEU and similar scores for translation, supplemented by human review. Personal data in text requires privacy controls.
Key points
- The AI field for understanding and generating human language
- Evolved from rules and statistics to transformers and LLMs
- Used for ticket routing, extraction, search and translation
- Jargon and mixed-language text challenge general models
Where AiVibe comes in
AiVibe delivers AI and machine learning services, chatbots and virtual assistants with RAG, MCP tools and voice, AI quality management including bias detection and model validation, and the AIMURUGA AI agent, and builds Intel-based edge AI devices using the Intel Distribution of OpenVINO toolkit.
Related terms
- Large Language Model (LLM)AI & Machine Learning
- Tokens and Tokenisation (LLMs)AI & Machine Learning
- Embeddings (Vector Embeddings)AI & Machine Learning
- Automatic Speech Recognition (ASR)AI & Machine Learning
- Transformer (Neural Network Architecture)AI & Machine Learning