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AI Engineering: Building Applications with Foundation Models - Chip Huyen

[HPP] Chip HuyenNovember 2, 20253 min
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The Rise of AI Applications

  • 💡 The release of ChatGPT led to an unexpected explosion of new applications, far beyond what a small increase in model quality metrics might suggest.
  • 🧠 The AI community has long understood that scaling up models improves them, a principle demonstrated by AlexNet and realized by OpenAI with GPT models.

Lowering Barriers to Entry

  • 🚀 Recent AI advancements have not only increased demand for AI products but also significantly lowered the entry barrier for developers.
  • ✅ It has become easy to get started with building AI applications, even for those with minimal or no prior AI experience, and sometimes without writing a single line of code.

Understanding AI Engineering

  • 📚 This book focuses on AI engineering, which involves building applications with readily available foundation models.
  • 🛠️ It explores how the model-as-a-service approach has transformed AI from an esoteric discipline into a powerful and accessible development tool.
  • 🔍 The text also discusses the importance of evaluation for open-ended models, including the rapidly growing AI-as-a-judge approach, due to the potential for catastrophic failures.
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What’s Discussed

AI EngineeringFoundation ModelsAI ApplicationsChatGPTGPT ModelsModel ScalingModel-as-a-ServiceDeveloper AccessibilityModel EvaluationAI-as-a-JudgeAI StackMachine Learning Engineering
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