Understanding the Backbone of Modern NLP

Transformers have undoubtedly transformed the field of Natural Language Processing. Their attention mechanisms and multi-head attention architecture have propelled them into the limelight, enabling faster training, improved performance, and broader applicability. Whether you’re a novice or an expert, grasping the core concepts of transformers is essential for staying at the forefront of the machine learning landscape. As you embark on your journey into the world of transformers, remember that understanding the foundational principles is the first step towards harnessing their immense potential in shaping the future of NLP and beyond.

And our guide, Transformers in Action, is here to take you along that path.

How Can ChatGPT Revolutionize Your Data Analytics Workflow?

Aimed at anyone, novice or expert, keen to understand the working of NLP and AI, Generative AI for Data Analytics focuses on the workings of ChatGPT and its use in data analytics. This book is especially useful for data scientists, analysts, and programming professionals. Prior knowledge of programming, data analysis, and a basic understanding of machine learning will enhance your learning experience.

Harnessing the Power of AI-Coding Assistants and Python

Writing computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say “ChatGPT.”

Store, Analyse, and Filter Data Better

From Pandas in Action by Boris Paskhaver

A Pre-Trained Model that Fakes It until It Makes It

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article explores the use and capabilities of GANs, using a fictional (and inadvasible) example of aspiring art forgers.

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