- Book: Speech and Language Processing
- Book: Natural Language Processing with Transformers
- Book: Build a Large Language Model (From Scratch)
- Book: Modern Approaches in Natural Language Processing
- Paper: Attention Is All You Need
- Blog: The Illustrated Transformer
- Blogs: Jay Alammar
- Blog: Attention? Attention!
- Blogs: Lil’Log - Lilian Weng
- Blog: The Annotated Transformer
- Blog: How Attention Works
- Blog: Understanding the attention mechanism in sequence models
- Blog: Zero-Shot Learning in Modern NLP
- Course: Hugging Face - NLP
- Courses: Hugging Face - Learn
- Course: Training and Fine-tuning Large Language Models (LLMs)
- Courses: W&B - AI Academy
- Course: LLM University by Cohere
- Videos: Ali Ghodsi
- Videos: Cohere AI
- Videos: Databricks - Generative AI Fundamentals
- Videos: DeepMind - Attention and Memory in Deep Learning
- Bootcamp: CMU LTI Low Resource NLP Bootcamp 2020
- Book: Chip Huyen - Designing Machine Learning Systems
- eBook: Chip Huyen - Introduction to Machine Learning Interviews Book
- Course: CS 329S: Machine Learning Systems Design
- Course: Machine Learning Engineering for Production (MLOps) Specialization
- Course: Machine Learning Operations (MLOps): Getting Started
- Course: Made With ML - Goku Mohandas
- An Introduction to Statistical Learning
- The Elements of Statistical Learning
- Understanding Deep Learning
- Trustworthy Machine Learning
- Aman C.
- CS25: Transformers United V4
- CS 324 - Advances in Foundation Models
- CS324 - Large Language Models
- Cheat Sheet: Super Study Guide