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 Super Study Guide: Transformers & Large Language Models?
Super Study Guide: Transformers & Large Language Models is taught by Afshine Amidi, Shervine Amidi. You can find more courses by these instructors on the corresponding source pages.
How long is Super Study Guide: Transformers & Large Language Models?
Super Study Guide: Transformers & Large Language Models is delivered as a self-paced online course on CourseFlix.
Is Super Study Guide: Transformers & Large Language Models free to watch?
Super Study Guide: Transformers & Large Language Models is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch Super Study Guide: Transformers & Large Language Models online?
Super Study Guide: Transformers & Large Language Models 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.