Definition: Develops models to predict the probability of word sequences, enabling text generation and understanding.
Applications: Chatbots, autocomplete systems.
Key techniques:
N-grams
RNNs, LSTMs
Transformers (e.g., GPT, BERT)
Tracks:
Statistical Language Models
Neural Language Models
Transformer-based Language Models
Contextual Language Models
Important Alert:
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