🧠 传统软件可预测,AI则不然:开发者必备技能清单

🧠 Traditional software is predictable. AI is not.  What fundamental skills do developers need in or...

精选理由

Andrew Ng 列出了构建 AI 应用所需的关键技能,对于开发者来说非常有用,特别是对于想要进入 AI 领域的人来说。

AI 摘要

Andrew Ng 列出构建和部署 AI 应用所需的基本技能,包括 LLM 基础、数据基础模型、构建智能体系统、以评估为导向的开发、生产运营和机器学习基础。这是 AI 工程技能图谱的第二部分。

图片来源 · DeepLearning.AI
原文 · DeepLearning.AI

🧠 Traditional software is predictable. AI is not.  What fundamental skills do developers need in or...

🧠 Traditional software is predictable. AI is not. What fundamental skills do developers need in order to build and deploy AI applications? Here's Andrew Ng's list: 🏗️ LLM foundations 📂 Grounding models with data 🤖 Building agentic systems 🧪 Evaluation-driven development ⚙️ Operating in production 📉 Machine learning foundations 🔗 This is the second installment of the AI Engineering Skills Map. Read more and subsc hubs.ly/Q04tScx10 U #AI t #MachineLearning e #AIEngineering neering 💬 4 🔄 1 ❤️ 16 👀 1863 📊 7 ⚡

🧠 传统软件可预测,AI则不然:开发者必备技能清单 · AI 热点