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Important LLM Terms

๐Ÿ”น Transformer Architecture
๐Ÿ”น Attention Mechanism
๐Ÿ”น Pre-training
๐Ÿ”น Fine-tuning
๐Ÿ”น Parameters
๐Ÿ”น Self-Attention
๐Ÿ”น Embeddings
๐Ÿ”น Context Window
๐Ÿ”น Masked Language Modeling (MLM)
๐Ÿ”น Causal Language Modeling (CLM)
๐Ÿ”น Multi-Head Attention
๐Ÿ”น Tokenization
๐Ÿ”น Zero-Shot Learning
๐Ÿ”น Few-Shot Learning
๐Ÿ”น Transfer Learning
๐Ÿ”น Overfitting
๐Ÿ”น Inference

๐Ÿ”น Language Model Decoding
๐Ÿ”น Hallucination
๐Ÿ”น Latency
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Important LLM Terms

๐Ÿ”น Transformer Architecture
๐Ÿ”น Attention Mechanism
๐Ÿ”น Pre-training
๐Ÿ”น Fine-tuning
๐Ÿ”น Parameters
๐Ÿ”น Self-Attention
๐Ÿ”น Embeddings
๐Ÿ”น Context Window
๐Ÿ”น Masked Language Modeling (MLM)
๐Ÿ”น Causal Language Modeling (CLM)
๐Ÿ”น Multi-Head Attention
๐Ÿ”น Tokenization
๐Ÿ”น Zero-Shot Learning
๐Ÿ”น Few-Shot Learning
๐Ÿ”น Transfer Learning
๐Ÿ”น Overfitting
๐Ÿ”น Inference

๐Ÿ”น Language Model Decoding
๐Ÿ”น Hallucination
๐Ÿ”น Latency

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