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 and 100GB Chinese training data, is the largest Chinese pre-trained language model...
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...
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…
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...
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...
nature machine intelligence Analysis https://doi.org/10.1038/s42256-023-00626-4 Parameter-efficient fine-tuning of large-scale pre-trained language models Received: 13 April 2022 Accepted: 2 February 2023 Published online: 2 March 2023 Check for updates Ning Ding 1,2,4, Yujia Qin1...
We pre-trained our models on Philly (a Microsoft internal compute cluster), the code is specialized for multi-node multi-GPU compute on this platform. The pre-training main python isrun_lm_vae_pretraining_phdist_beta.py. You may need to adjust the distributed training scripts. ...
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...
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...
Foundation models, possessing rich prior knowledge obtained from pre-training with Internet-scale corpus, have the potential to be a good controller with proper prompts. In this paper, we take HVAC (Heating, Ventilation, and Air Conditioning) building control as an example to examine ...