🎓 Stanford has released a new course: “Transformers & Large Language Models”

The authors are the Amidi brothers, and three free lectures are already available on YouTube. This is probably one of the most systematic introductory courses on modern LLMs.

Course content:

• Transformers: tokenization, embeddings, attention, architecture
• #LLM basics: Mixture of Experts, decoding types
• Training and fine-tuning: SFT, RL, LoRA
• Model evaluation: LLM/VLM-as-a-judge, best practices
• Tricks: RoPE, attention approximations, quantization
• Reasoning: scaling during training and inference
• Agentic approaches: #RAG, tool calling

If you are already familiar with this topic — it’s a great opportunity to refresh your knowledge and try implementing some techniques from scratch.

https://cme295.stanford.edu/syllabus/

https://t.iss.one/CodeProgrammer 🌟

Stack Overflow is not dead, it is making a powerful comeback

Yes, our beloved Stack Overflow, where we all once searched for answers to "why my code doesn't work," is back in the game. They have launched Stack Overflow AI
https://stackoverflow.ai/

At first glance, it might resemble ChatGPT or other AI tools, but the key difference is that it operates based on a huge developer knowledge base that Stack Overflow has been building for years

It seems Stack Overflow has found a way to be indispensable again. 💜

👉 @codeprogrammer