[AINews] Andrew Ng gets into AI Engineering

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We’ve lost count of how many adoption milestones have been passed since the original Rise of the AI Engineer post, but surely Andrew Ng, cofounder of Google Brain and Coursera among many other things, relaunching DeepLearning.ai with a focus on AI Engineering is a big one:This was done via “an analysis of over 10,000 job postings; carrying out dozens of structured interviews with AI experts, hiring managers, and recruiters; gathering data through surveys; and synthesizing other online data” .Here are the four most important AI engineering skills according to Andrew:You can read his full post for more from the horses’ mouth, but we agree that “AI Engineering Skills” are broadly applicable to more than just those with the job title of “AI Engineer” and that is an insightful focus.Commentary on the 4 skills:Building and deploying AI applications: “People who are skilled at building and deploying AI applications understand the building blocks of AI (such as LLMs, context engineering, RAG, agentic workflows, machine learning and deep learning) and, importantly, how to use statistical techniques to measure, steer, and govern AI systems so that they behave more predictably. A core skill in doing so is knowing how to drive disciplined evals and error analysis loops.”yup. this part is closest to the traditional MLE/MLOps workflow, from “zero gradient” aka prompt engineering techniques, to harness engineering, to finetuning and beyond, all the way up to building your own agent lab as folks like Harvey are now doingSoftware engineering fundamentals. “Understanding software …

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