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VOCABULARY

LLM Parameters

LLM Parameters refer to the elements within Large Language Models (LLMs) that dictate the model's behavior and language processing abilities.

LLM Parameters in practice

  1. Learning: During training, parameters adjust to predict words based on prior context.
  2. Mapping Relationships: Collectively, parameters form relationships between words and concepts in the training data.
  3. Temperature Regulation: A special parameter that influences the randomness of model outputs.
  4. Contribution to Architecture: They form the foundation of an LLM's ability to understand and generate language.
  5. Benchmark Setting: Adjustments to parameters are evaluated against set performance benchmarks.

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