🚨🚨قرعه کشی وایت لیست قطعی ARCINS NFT روی شبکه ARC
شرایط:
✅️این توییت رو لایک و ریتوییت کنید
✅️اکانت @Arcins__ و @khode_saman رو فالو کنید
🚨قرعه کشی فردا پنج شنبه
✅️مینت روی opensea خواهد بود
روی شبکه arc و همزمان با لانچ شبکه #arc
برو که رفتیمممم🚀🚀😘
You still have pipelines.
Still version, evaluate, deploy, monitor.
Still care about latency, cost, quality, failures, and what happens when real users touch the thing.
I see AI Engineering less as replacing ML Engineering and more as expanding it.
Same skeleton. New organs.
AI job titles are multiplying faster than the engineering underneath them.
ML Engineer. AI Engineer. LLM Engineer. RAG Engineer. Agentic AI Engineer.
Different tools, different emphasis.
But I’m not convinced they’re all different disciplines.
“Features” become documents, chunks, embeddings, retrieval.
“Training” might mean model selection, prompts, evals, fine-tuning.
“Inference” can include retrieval, context, model calls, tools, agent loops.
New components. Same kinds of system problems.