Picture this: just a few years ago, language models were niche concepts, foreign to many. Fast-forward to 2023, and they’ve taken the world by storm. ChatGPT, the lightning-fast consumer app, has become a household name, reaching far beyond computer science enthusiasts. Language models are no longer an exotic topic but have firmly embedded themselves in our everyday lives.
However, while many embrace language models like ChatGPT, few harness their true potential, especially in the realm of data science. These models offer a unified interface, allowing data analysis via plain English instructions, but effectively leveraging them demands the right tools, understanding model trade-offs, and a glimpse into their inner workings.
Join us on an exciting journey as we delve into the realms of AI-Assisted Data Science, authored by the insightful Immanuel Trummer.
Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity using regular expressions.
From Transfer Learning for Natural Language Processing by Paul Azunre
In this article, we cover some representative deep transfer learning modeling architectures for NLP that rely on a recently popularized neural architecture – the transformer – for key functions.