nlp - Concepts

Explore concepts tagged with "nlp"

Total concepts: 8

Concepts

Instruction Tuning - A fine-tuning technique that trains language models to follow natural language instructions by learning from examples of instruction-response pairs.
Semantic Search - A search technique that finds information based on meaning and intent rather than exact keyword matching.
Tokenization - Breaking text into smaller units (tokens) that AI models can process.
Attention Mechanism - An AI technique that allows models to focus on relevant parts of input when producing output.
Natural Language Processing - The field of artificial intelligence focused on enabling computers to understand, interpret, and generate human language.
Transformer - The neural network architecture underlying modern AI language models.
Embedding - Converting text, images, or other data into numerical vectors that capture semantic meaning.
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.