Tahmid ChoudhuryforMachine Learning Club, NIT Silcharml-club-nits.hashnode.dev·Dec 18, 2024🤖The Evolution of NLP: From RNNs to TransformersNatural Language Processing (NLP) has come a long way in recent years, with groundbreaking advancements in understanding and generating human language. From Recurrent Neural Networks (RNNs) to Transformer architectures like BERT and GPT, NLP models h...transformers
Tahmid Choudhurytransformer-nlp.hashnode.dev·Nov 21, 2024🤖The Evolution of NLP: From RNNs to TransformersNatural Language Processing (NLP) has come a long way in recent years, with groundbreaking advancements in understanding and generating human language. From Recurrent Neural Networks (RNNs) to Transformer architectures like BERT and GPT, NLP models h...2 likestransformers
Arya M. Pathakarya2004.hashnode.dev·Oct 27, 2024An Overview into Generative Adversarial NetworksWelcome to the fascinating world of Generative Adversarial Networks (GANs)! As engineering students, we often come across amazing technologies that leave us in awe, and GANs are one of them. Imagine building a model that can generate images of realis...20 likes·45 readsThe GAN Guide: From Basics to BreakthroughsGANs
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 26, 2024Understanding the Encoder-Decoder ArchitectureIntroduction The Encoder-Decoder architecture is a foundational neural network design pattern used extensively in sequence-to-sequence (Seq2Seq) tasks. It enables the transformation of an input sequence into an output sequence, which can be of differ...NLPgenai
Le Quoc Cuongnospaceavailable.hashnode.dev·Sep 16, 2024Comment trong HTML, <script> tag và một kỹ thuật CSP bypass để tấn công XSSNgôn ngữ HTML được đặc trưng bởi các HTML tag và các thuộc tính (attributes) của mỗi tag. Trong bài viết này, chúng ta sẽ tìm hiểu về tag <script> trong HTML và một số hành vi mà mình cho là khá thú vị khi mà HTML parser và Javascript parser cùng hoạ...40 readsJavaScript
Jayasrij-jayasri.hashnode.dev·Sep 13, 2024Exploring Encoder & Decoder TypesAn Encoder-Decoder is a neural network architecture primarily used in sequence-to-sequence (seq2seq) tasks where input and output sequences can have different lengths. The model consists of two parts: Encoder: Processes the input sequence and compre...20 likes·82 readsGenAIgenerative ai
Monojit Sarkarmonojit13.hashnode.dev·Jul 22, 2024Visualize Attention Mechanism in Sequence to Sequence ModelsAttention mechanism is really fascinating. It tries to mimic human way of perceiving the world. In this post, I will provide visualizations on how attention mechanisms work on different simple problems. I will demonstrate them by reversing, right shi...nlp transformers
Ishika Ishaniishikaishani.hashnode.dev·Jun 25, 2024Understanding Transformers in Deep LearningIntroduction In the realm of natural language processing (NLP), the transformer model has revolutionized the field. Introduced in the seminal paper "Attention Is All You Need" by Vaswani et al. in 2017, the transformer architecture has become the fou...10 likes·53 readstransformers
Saurabh Naiksaurabhz.hashnode.dev·Apr 18, 2024Cracking the Code: Understanding Encoder-Decoder Architecture and Distance Measures for Word Embeddings with PythonIntroduction: Word embeddings, a cornerstone of natural language processing (NLP), provide a means to represent words in a machine-understandable format by capturing their semantic meaning. In this technical blog, we delve into the encoder-decoder ar...30 readsGenerative AIdistances
kushagra raitechlearngrow.hashnode.dev·Apr 11, 2024Summarization of Customer Reviews PROJECTProblem Statement Here we will see how the entire context of a particular text can be automatically generated in a precise less number of words. I have used the kaggle data set (https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews/home...encoder decoder
