This tutorial is aimed at coders interested in understanding the building blocks of large language models (LLMs), how LLMs work, and how to code them…

Collection of NLP resources - trends, summaries, tutorials, trainings, libraries, datasets, tools with multilingual NLP resources added

Not a course - more of a collection of articles

In this course, we'll go from experimentation (model design + development) to production (model deployment + iteration). We'll do this iteratively by motivating the components…

This 2013 tutorial is harbinger of NLP decisively moving into unsupervised learning approaches with neural network architectures as the essential component. This tutorial captures the…

A number of courses from coursera on the art of learning

This book makes deep learning approachable, teaching the concepts, the context, and the code. The key ideas are distilled, minimizing the onboarding time needed to…

Excellent build up of educational content and papers for building a solid understanding of Transformer architecture and its later developments by Jay Alammar

We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3. We talk about connections to…

Andrej has provided a very definitive fundamental course on neural networks over 5 sessions along with its code and exercises