Deploying ML & LLM projects? Data quality matters more than model architecture. Use robust data handling, frameworks like RAES, and log experiments thoroughly. Start with Jupyter notebooks, then move to production-grade tooling.

Turbocharge your development process with these 3 hacks: Screenshot errors & ask AI "Why?", Treat AI like a colleague, and Set up custom text replacements. Boost learning & retention with ELI5 & analogies!