Stanford Engineering: Transformers & LLMs

The New Year holidays are over, and it’s the perfect time to start learning something new 🤔.

Stanford Engineering fully opened a course CME 295: Transformers & LLMs with explanation of LLMs core components, their limitations and how to use them effectively in real-world applications.
Course instructors are engineers with work experience in Uber, Google and Netflix, so they they really know what they are talking about.

Topic covered in the course:
- Transformers architecture
- Decoding strategies & MoEs
- LLMs finetuning & optimizations
- Results evaluation & Reasoning
- RAG & Agentic workflows

To really understand a topic, I need to know how everything is organized under the hood and what the core architectural principles are. That's why I really like such courses as they provide a structured and systematic view of the topic with all the necessary theory.

#ai #engineering