Transformer
The neural network architecture that powers modern language models.
Definition
A transformer is a neural network architecture introduced in 2017 that has become the foundation of modern language models. Transformers use an attention mechanism to process entire sequences simultaneously, understanding relationships between all words regardless of distance. This architecture powers models like GPT, Claude, and BERT, enabling unprecedented performance in language understanding and generation tasks.
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AI systems that can autonomously plan, reason, and execute multi-step tasks.
Context Window
The maximum amount of text an AI model can process in a single request.
Fine-tuning
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Large Language Model (LLM)
AI models trained on vast text data to understand and generate human language.
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