1 Prompt-Based Learning 3 | P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks 13 Jan 2023 2 Prompt-Based Learning 2 | P-tuniung: GPT Understands, Too 21 Dec 2022 3 Prompt-Based Learning 1 | PET(Pattern Exploiting Training), iPET(Iterative Pattern Exploiting Training) 15 Dec 2022 4 Language Models Summary(unfinished post) 30 Nov 2022 5 DAPT-TAPT | Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks 29 Nov 2022 6 BERT | Pre-training of Deep Bidirectional Transformers for Language Understanding 22 Nov 2019 7 Transformer | Attention Is All You Need 19 Nov 2019 8 Attention in sequence to sequence 12 Nov 2019 9 Sequence to Sequence(Seq2Seq) 11 Nov 2019 10 GloVe(Global Word Vectors) 07 Nov 2019 11 FastText | Enriching Word Vectors with Subword Information 07 Nov 2019 12 Word2vec | Skip-gram 06 Nov 2019 13 Word2Vec(Sentimental Categorize);with code 06 Nov 2019 14 Word2vec | CBOW(Continuous Bag Of Words Model) 05 Nov 2019 15 NPLM(Neural Probabilistic Language Model) 04 Nov 2019 16 Word embedding(Distributed Representation) 03 Nov 2019 17 LSA(Latent Sematic Analysis) 03 Nov 2019 18 How to represent words?( Word Vectors) 01 Nov 2019 19 Tokenization;with code 31 Oct 2019 20 Regular Expression;with code 31 Oct 2019 21 NLP Basics;with code 31 Oct 2019 22 What is Natural Language Processing(NLP)? 30 Oct 2019

1 Linear Regression;with code 07 Aug 2021 2 K-Means;with code 03 Aug 2021 3 L1, L2 (Norm, Loss, Regularization) 04 Oct 2020 4 Transfer Learning, Multi-task Learning, End-to-End deep learning 01 Oct 2020