The book "Super Study Guide: Transformers & Large Language Models" is a concise and visual guide for those who want to understand the structure of large language models, whether for interviews, projects, or personal interest.
Super Study Guide: Transformers & Large Language Models
0h 0m 0s
English
Paid
It is divided into 5 parts: Foundations: primer on neural networks and important deep learning concepts for training and evaluation Embeddings: tokenization algorithms, word-embeddings (word2vec) and sentence embeddings (RNN, LSTM, GRU) Transformers: motivation behind its self-attention mechanism, detailed overview on the encoder-decoder architecture and related variations such as BERT, GPT and T5, along with tips and tricks on how to speed up computations Large language models: main techniques to tune Transformer-based models, such as prompt engineering, (parameter efficient) finetuning and preference tuning Applications: most common problems including sentiment extraction, machine translation, retrieval-augmented generation and many more.
About the Authors
Afshine Amidi
Afshine Amidi is a French ML engineer (formerly at Stanford) and the co-author of the widely-read Super Study Guide series on machine learning, deep learning, and modern AI topics — distilled reference cards used by a generation of ML practitioners and students preparing for ML interviews or refreshing the field's mathematical foundations.
His CourseFlix listing carries Super Study Guide — Transformers & Large Language Models, the LLM-focused entry in the series. The material covers the transformer architecture, attention mechanisms, the training pipeline, and the modern LLM landscape at a level aimed at engineers who want a rigorous reference rather than a hand-wavy overview.
Material is paid and aimed at ML engineers and students. For broader content, see CourseFlix's LLMs & Fundamentals category page.
Shervine Amidi
Shervine Amidi is a French ML engineer (formerly at Stanford) and the co-author with Afshine Amidi of the widely-read Super Study Guide series on machine learning, deep learning, and modern AI topics — distilled reference cards used by a generation of ML practitioners.
His CourseFlix listing carries Super Study Guide — Transformers & Large Language Models, the LLM-focused entry in the series. The material covers the transformer architecture, attention mechanisms, the training pipeline, and the modern LLM landscape at a rigorous reference level.
Material is paid and aimed at ML engineers and students. For broader content, see CourseFlix's LLMs & Fundamentals category page.
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Frequently asked questions
What is Super Study Guide: Transformers & Large Language Models about?
The book "Super Study Guide: Transformers & Large Language Models" is a concise and visual guide for those who want to understand the structure of large language models, whether for interviews, projects, or personal interest.
Who teaches this course?
It is taught by Afshine Amidi, Shervine Amidi. You can find more courses by these instructors on the corresponding source pages.
How long is the course?
It is delivered as a self-paced online course on CourseFlix.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/super-study-guide-transformers-large-language-models. The page hosts every lesson with the integrated video player; no download is required.