Muhammad Ehsan : AI CME 295: Transformers & Large Language

If you’re serious about AI, this is worth your attention.

Stanford has just released its course CME 295: Transformers & Large Language Models in full on YouTube.

What stands out to me is the level of clarity and structure.

This isn’t another surface-level overview.

It’s the actual curriculum used to teach how modern AI systems work.

This will help you move from using AI to understanding it.

📚 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱 𝗶𝗻𝗰𝗹𝘂𝗱𝗲:

• How Transformers actually work (tokenization, attention, embeddings)

• Decoding strategies & MoEs

• LLM finetuning (LoRA, RLHF, supervised)

• Evaluation techniques (LLM-as-a-judge)

• Optimization tricks (RoPE, quantization, approximations)

• Reasoning & scaling

• Agentic workflows (RAG, tool calling)

🎥 Watch these now:

- Lecture 1: https://zurl.co/F0QR5

- Lecture 2: https://zurl.co/hG5lp

- Lecture 3: https://zurl.co/PnKrW

- Lecture 4: https://zurl.co/XCZoE

- Lecture 5: https://zurl.co/GWlYI

- Lecture 6: https://zurl.co/zGqqQ

- Lecture 7: https://zurl.co/T06NM

- Lecture 8: https://zurl.co/Un42q

- Lecture 9: https://zurl.co/rR3YL

For 2026, consider setting aside 2–3 hours each week to go through these lectures.

If you’re working in AI whether on infrastructure, agents, or applications, this is a foundational resource worth your time.

It’s a simple way to build depth where it matters most.

#AI #LLMs #Transformers #Stanford #GenAI

Muhammad Ehsan