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
Super Study Guide: Transformers & Large Language Models is a self-paced course by Afshine Amidi, Shervine Amidi. 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.
Course facts
- Lessons
- 0
- Duration
- self-paced
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Afshine Amidi, Shervine Amidi
- Price
- Premium
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.
Who teaches Super Study Guide: Transformers & Large Language Models?
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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