In the BERT training process, the model receives pairs of sentences as input and learns to predict if the second sentence in the pair is the subsequent sentence in the original document. During training, 50% of the inputs are a pair in which the second sentence is the subsequent sentence i...
John Snow Labs' NLP & LLM ecosystem include software libraries for state-of-the-art AI at scale, Responsible AI, No-Code AI, and access to over 40,000 models for Healthcare, Legal, Finance, and Visual NLP.
residual learning techniques exhibit improved performance. In this paper, we develop an enhanced deep super-resolution network (EDSR) with performance exceeding those of current state-of-the-art SR methods. The significant performance improvement of our model ...
CNN被广泛用于CV和NLP领域，在时间序列预测领域，An Empirical Evaluation of Generic Convolutional and Re...
本文提出了FIESTA(fast identification of start-of-the-art),目标是通过少量的模型评估,从候选者模型中识别出最佳模型。 研究方法: 分别根据不同的需求,在固定预算(分配固定的计算资源)的情况下和固定置信度(希望所选出的模型是最好的)的两种场景下分别讨论。
只要在任意一个角度可以超越这个领域里面的其它模型，则可以自信的说自己的模型达到state-of-the-art了...
本文提出了FIESTA(fast identification of start-of-the-art),目标是通过少量的模型评估,从候选者模型中识别出最佳模型。 研究方法: 分别根据不同的需求,在固定预算(分配固定的计算资源)的情况下和固定置信度(希望所选出的模型是最好的)的两种场景下分别讨论。
(retro)synthesis12,15were carried out with Seq2Seq16models following robust and more easy to train natural language processing (NLP) transformer approaches17,18that bring state-of-the-art results11,19. Meanwhile other approaches based on similarity20, convolutional21,22,23, and graphs24,25show ...
John Snow Labs' NLU is a Python library for applying state-of-the-art text mining, directly on any dataframe, with a single line of code. As a facade of the award-winning Spark NLP library, it comes with1000+of pretrained models in100+, all production-grade, scalable, and trainable, ...
You are an NLP researcher / practitioner, and you would like to give a shot to a library aiming to support state-of-the-art models along with datasets, metrics and more in unified APIs. To see more, check theofficial Trapper blog post. ...