Large Language Model
A neural network trained on vast amounts of text data, capable of understanding and generating human-like text across diverse tasks.
Related Concepts
- Transformer: Explore how Transformer relates to Large Language Model
- Pre-training: Explore how Pre-training relates to Large Language Model
- GPT: Explore how GPT relates to Large Language Model
- BERT: Explore how BERT relates to Large Language Model
Why It Matters
Understanding Large Language Model is crucial for anyone working with large language models. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
BERT
Bidirectional Encoder Representations from Transformers - a model that understands context by looking at text from both directions.
GPT
Generative Pre-trained Transformer - an autoregressive language model architecture that predicts the next token given previous context.
Pre-training
Training a model on a large dataset (often self-supervised) before fine-tuning on specific tasks, enabling transfer learning.
Transformer
A neural network architecture introduced in 'Attention is All You Need' (2017) that relies entirely on self-attention mechanisms, becoming the foundation for modern LLMs.