【论文笔记】GPT-1：Improving Language Understanding by Generative Pre-Training - Code World

【论文笔记】GPT-1：Improving Language Understanding by Generative Pre-Training

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Origin blog.csdn.net/changreal/article/details/102996479

【论文笔记】GPT-1：Improving Language Understanding by Generative Pre-Training

Re45：读论文 GPT-1 Improving Language Understanding by Generative Pre-Training

GPT1解读：Improving Language Understanding by Generative Pre-Training

[Intensive reading of NLP classic papers] Improving Language Understanding by Generative Pre-Training

【论文笔记】BLIP: Bootstrapping Language-Image Pre-training forUnified Vision-Language Understanding and

【论文笔记】BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

[Notes] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

[GPT of LLM series] GPT (Generative Pre-trained Transformer) generative pre-training model

【论文笔记】VLMO: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts

[Natural Language Processing | BERT] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Paper Explanation

Intensive reading of Li Mu's paper: BERT "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

[Paper Notes] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

[NLP classic paper intensive reading] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

In-depth understanding of deep learning - BERT derived model: SpanBERT (Improving Pre-training by Representing and Predicting Spans)

[NLP] 1. BERT | Two-way transformer pre-training language model

Entwicklung und Evaluierung von VLP (Vision-Language Pre-training) (1)

Continuous pre-training of large language models

LLM pre-training large language models Pre-training large language models

论文笔记 --《Unified Language Model Pre-training for Natural Language Understanding a

论文笔记 --《Unified Language Model Pre-training for Natural Language Understanding a

论文笔记 --《Unified Language Model Pre-training for Natural Language Understanding a

论文笔记 --《Unified Language Model Pre-training for Natural Language Understanding a

【论文笔记】BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and

【论文笔记】BLIP : Bootstrapping Language-Image Pre-training forUnified Vision-Language Understanding and

Reading Literature 1: Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training (article translation and its own understanding and summary)

ViLBERT: Pre-training model for vision-language tasks

CLIP vs Language-Image Pre-training Algorithms

LLM-Large Model Training-Step (2)-Pre-training/Pre-Training(1): Full-Param Pre-Training (Full-Param Pre-Training) [Full parameter pre-training for LLaMA and other models] [Chinese unsupervised learning corpus 】

From entry to proficiency: workflow and practical application of generative pre-training Transformer

【Paper notes】DialoGPT:Large-Scale Generative Pre-training for Conversational Response Generation

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