Remove 2010 Remove BERT Remove Neural Network
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Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas. (I Around this time a new graduate student, Geoffrey Hinton, decided that he would study the now discredited field of neural networks.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

BioBERT and similar BERT-based NER models are trained and fine-tuned using a biomedical corpus (or dataset) such as NCBI Disease, BC5CDR, or Species-800. Data formats for inputting data into NER models typically include Pandas DataFrame or text files in CoNLL format (ie. a text file with one word per line). This study by Bui et al.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

In this example figure, features are extracted from raw historical data, which are then are fed into a neural network (NN). From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU. PBAs, such as GPUs, can be used for both these steps.

ML 102
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The NLP Cypher | 02.14.21

Towards AI

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Sparsify: a UI interface to optimize deep neural networks for better inference performance. Follow their code on GitHub.

NLP 91
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The NLP Cypher | 02.14.21

Towards AI

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Sparsify: a UI interface to optimize deep neural networks for better inference performance. Follow their code on GitHub.

NLP 52