Unverified50% confidenceFactExact time
The NLP direction is based on the Transformer architecture and requires mastery of the principles of pre-trained language models (such as BERT and the GPT series), fine-tuning methods (such as LoRA and Prompt Tuning), and text vectorization techniques.
1
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50%
Confidence
Long-term
Relevance
9/16/2026
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UnverifiedThe NLP field has evolved from bag-of-words models and TF-IDF to RNNs and LSTMs, and then to the Transformer architecture and large language models.76% similarVerifiedLarge language models are based on the Transformer architecture and are trained on massive amounts of text data.74% similarVerifiedThe large language model represented by ChatGPT is based on the Transformer architecture and acquires the statistical patterns of language by performing self-supervised learning on massive text data.72% similarUnverified《Build a Large Language Model From Scratch》带领读者用PyTorch从零实现一个GPT类模型，涵盖分词、注意力机制、Transformer架构、预训练到微调的完整流程71% similarVerifiedBefore the advent of Transformer, the field of natural language processing relied primarily on RNNs and LSTMs to process sequential data, architectures that had to process text word by word in sequence and could not perform parallel computation70% similar
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