In this technical report, we release the Chinese Pre-trained Language Model (CPM) with generative pre-training on large-scale Chinese training data. To the best of our knowledge, CPM, with 2.6 billion parameters
Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, GPT-2 and GPT-3. Using them as pre-trained models and fine-tuning them for specific tasks, researchers have extended the state of the art for many natural...
这篇论文来自《PANGU-α: LARGE-SCALE AUTOREGRESSIVE PRETRAINED CHINESE LANGUAGE MODELS WITH AUTO-PARALLEL COMPUTATION》 摘要 ⼤规模预训练语⾔模型 (PLM) 已成为⾃然语⾔处理 (NLP) 的新范例。具有数千亿个参数的PLM在⾃然语⾔理解和⽣成⽅⾯表现出强⼤的性能,并带有少样本上下⽂学习。在这...
With the prevalence of pre-trained language models (PLMs) and the pre-training–fine-tuning paradigm, it has been continuously shown that larger models tend to yield better performance. However, as PLMs scale up, fine-tuning and storing all the parameters is prohibitively costly and eventually be...
参考论文《CPM-2: Large-scale Cost-effective Pre-trained Language Models》 针对预训练语言模型(PLM)问题限制了它们在现实世界场景中的使⽤,作者提出了⼀套使⽤PLM来处理预训练、微调和推理的效率问题的具有…
Optimus: the first large-scale pre-trained VAE language model vaepretrained-modelslanguage-modelvae-pytorch Readme 385stars 12watching 39forks Releases No releases published Packages No packages published Languages Python96.8% Shell3.2%
Pre-trained Language Models (PLMs)Peters et al. (2018); Radford et al. (2018); Devlin et al. (2019); Brown et al. (2020)have been developed for a variety of tasks in Natural Language Processing (NLP), as they can learn rich language knowledge from large-scale corpora, which is bene...
News recommendation calls for deep insights of news articles’ underlying semantics. Therefore, pretrained language models (PLMs), like BERT and RoBERTa, may substantially contribute to the recommendation quality. However, it’s extremely challenging to have news recommenders trained together with such bi...
Large language models (LLMs) are seen to have tremendous potential in advancing medical diagnosis recently, particularly in dermatological diagnosis, which is a very important task as skin and subcutaneous diseases rank high among the leading contributors to the global burden of nonfatal diseases. Her...
they can be highly usable for completing specialized tasks. But it’s the large-scale language models — those comprising massive datasets, such as those powering OpenAI’s GPT (which stands for generative pre-trained transformer), whose advancements have taken the world by storm with their human...