The point about starting with RAG instead of jumping between random tutorials really hit home for me. I've definitly been in that cycle of bouncing between LangChain experiments and transformer articles without building anything complete. The way you frame RAG as teaching the entire engieering layer makes so much sense. It's not just about the LLM, it's about the whole system around it.
Just one small question: for each phase of the MOAI series, will there be a separate self-paced course, or will purchasing this single course cover the walkthroughs for all upcoming phases?
As an aspiring AI engineer I really loved this article❤️
Soooo much clarity!!!❤️
Glad to hear that 😇
It was really great!
"RAG Systems self-paced course (with Discord support)" Do I need to purchase this one even if I go for the substack paid subscription?
Hi yes! Annual subscribers get 50% discount :)
The point about starting with RAG instead of jumping between random tutorials really hit home for me. I've definitly been in that cycle of bouncing between LangChain experiments and transformer articles without building anything complete. The way you frame RAG as teaching the entire engieering layer makes so much sense. It's not just about the LLM, it's about the whole system around it.
“RAG is fundamentally an Information Retrieval problem - which teaches Search + Recommendations”
Yes! What a great what and easy way to explain it. Thank you.
Just one small question: for each phase of the MOAI series, will there be a separate self-paced course, or will purchasing this single course cover the walkthroughs for all upcoming phases?
Hey, thanks for your question. Each phase would be a separate course.