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Large Language Models: RoBERTa — A Robustly Optimized BERT Approach | by Vyacheslav Efimov | Sep, 2023

Learn about key techniques used for BERT optimisation The appearance of the BERT model led to significant progress in NLP.

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Matplotlib Tutorial: Let’s Take Your Country Maps to Another Level | by Oscar Leo | Sep, 2023

Matplotlib Tutorial How to draw beautiful maps with Python and Matplotlib Map created by the author Yes, I created the

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Anomaly Detection in TensorFlow and Keras Using the Autoencoder Method | by Rashida Nasrin Sucky | Sep, 2023

Photo by Leiada Krozjhen on Unsplash A cutting-edge unsupervised method for noise removal, dimensionality reduction, anomaly detection, and more All

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A Taxonomy of Natural Language Processing | by Tim Schopf | Sep, 2023

This post is based on our RANLP 2023 paper “Exploring the Landscape of Natural Language Processing Research”. You can read

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Now You See Me (CME): Concept-based Model Extraction | by Dmitry Kazhdan | Sep, 2023

Leveraging Semi-Supervised Concept-based Models with CME CME relies on a similar observation highlighted in [3], where it was observed that

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Translating Terms with LLMs (GPT and Vertex AI/Google Bard) | by Shafquat Arefeen | Sep, 2023

Photo by Mojahid Mottakin on Unsplash Can LLMs like ChatGPT accurately make translations better than humans? What options of LLMs

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Why More and More People are Embracing Automated Assistants in Contact Centers

Are your customers tired of waiting too long on hold just to speak to a customer service representative? Looking for

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How to Talk About Data and Analysis to Non-Data People | by Michal Szudejko | Sep, 2023

A step-by-step tutorial for data professionals In my recent articles, I noted that a significant challenge for many companies today

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XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 2: Training | by Saupin Guillaume | Sep, 2023

Photo by Simon Wilkes on Unsplash In a previous article: you have learned about rewriting decision trees using a Differentiable

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