ai - Java Programmatic Universe - Page 2

3 (A)- Generative Pre-trained Transformer (GPT)

2 (E)- Transformer Architecture

2 (D)- Attention Mechanisms

2 (C)- Convolutional Neural Networks for NLP

2 (B)- Recurrent Neural Networks (RNNs, LSTMs, GRUs)

2 (A)- Feedforward Neural Networks

1 (C) NLP tasks (sentiment analysis, named entity recognition, text classification)

1 (B) – Feature extraction (bag-of-words, TF-IDF, word embeddings)

1 (A)- Text preprocessing (tokenization, stemming, lemmatization)

LLM (Large Language Model) – Topics

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