View source for Bidirectional Long Short-Term Memory (BI-LSTM) with Attention Mechanism

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* [[Recurrent Neural Network (RNN)]] Variants:
** [[Long Short-Term Memory (LSTM)]]
** [[Gated Recurrent Unit (GRU)]]
** [[Bidirectional Long Short-Term Memory (BI-LSTM)]]
** Bidirectional Long Short-Term Memory (BI-LSTM) with Attention Mechanism 
** [[Average-Stochastic Gradient Descent (SGD) Weight-Dropped LSTM (AWD-LSTM)]]
** [[Hopfield Network (HN)]]
* [[Attention]] Mechanism  ...[[Transformer]] ...[[Generative Pre-trained Transformer (GPT)]] ... [[Generative Adversarial Network (GAN)|GAN]] ... [[Bidirectional Encoder Representations from Transformers (BERT)|BERT]]
* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Grok]] | [https://x.ai/ xAI] ... [[Groq]] ... [[Ernie]] | [[Baidu]]
* [[Risk, Compliance and Regulation]] ... [[Ethics]] ... [[Privacy]] ... [[Law]] ... [[AI Governance]] ... [[AI Verification and Validation]]
* [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
* [https://arxiv.org/pdf/1712.00557.pdf	Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection | Pacific Northwest National Laboratory (PNNL)]    
* [https://arxiv.org/pdf/1710.00811.pdf Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams | Pacific Northwest National Laboratory (PNNL)]
* [https://github.com/pnnl/safekit SafeKit | Pacific Northwest National Laboratory (PNNL) - GitHub]
* [https://www.aclweb.org/anthology/P16-2034 Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification | Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, Bo Xu]
* [https://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html Taming Recurrent Neural Networks for Better Summarization | Abigail See]
   

By incorporating attention variants into an RNN (language models) opportunities are created for model introspection and analysis without sacrificing performance. Attention-equipped LSTM models have been used to improve performance on complex sequence modeling tasks. Attention provides a dynamic weighted average of values from different points in a calculation during the processing of a sequence to provide long term [[context]] for downstream discriminative or generative prediction. [https://arxiv.org/pdf/1803.04967.pdf Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection | Western Washington University and Pacific Northwest National Laboratory (PNNL] 

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