nlp - Concepts

Explore concepts tagged with "nlp"

Total concepts: 10

Concepts

Embedding - Converting text, images, or other data into numerical vectors that capture semantic meaning.
Attention Mechanism - An AI technique that allows models to focus on relevant parts of input when producing output.
Semantic Search - A search technique that finds information based on meaning and intent rather than exact keyword matching.
Transformer - The neural network architecture underlying modern AI language models.
Instruction Tuning - A fine-tuning technique that trains language models to follow natural language instructions by learning from examples of instruction-response pairs.
Tokenization - Breaking text into smaller units (tokens) that AI models can process.
Token - A fundamental unit of text that language models process, typically representing a word, subword, or character.
Text Generation - The process by which language models produce coherent text by predicting and outputting sequences of tokens.
Natural Language Processing - The field of artificial intelligence focused on enabling computers to understand, interpret, and generate human language.
Large Language Models (LLMs) - AI models that use transformer architecture to understand and generate human-like text by predicting the next token in a sequence.