[Podcast]: AI Engineering: Building Applications with Foundation Models

How to Build AI Applications with Foundation Models | Chip Huyen’s AI Engineering Guide 🤖📚

AI is no longer just for researchers — it's now a developer’s superpower. In this video, we explore insights from Chip Huyen’s groundbreaking book on AI engineering, which shows how anyone, even without deep AI experience, can build powerful applications using foundation models like GPT, Claude, and others.

🔥 What You’ll Learn in This Video:
• How the model-as-a-service revolution lowered the barrier to entry in AI development
• What makes AI engineering different from traditional ML engineering
• Why evaluation is critical as AI systems grow in complexity and risk
• Key frameworks for developing and deploying real-world AI apps
• Practical concepts: prompt engineering, RAG, agents, finetuning, and more
• How to choose the right models, datasets, and infrastructure
• How to use AI-as-a-judge for evaluating open-ended model outputs
• Tips on optimizing inference and collecting user feedback to improve performance

📘 Book Highlight: “Building AI Applications with Foundation Models” by Chip Huyen
Learn how to go from idea to deployed AI product — no PhD required!

🛠️ Whether you're a software engineer, product builder, or tech entrepreneur, this guide will help you build smarter, faster, and more reliably with today’s most powerful AI tools.

#AIEngineering #FoundationModels #PromptEngineering #RAG #MachineLearning #BuildWithAI #OpenAI #GPT4 #ClaudeAI #AIStack #InferenceOptimization #AIProductDevelopment #EasyMasterAI

Видео [Podcast]: AI Engineering: Building Applications with Foundation Models канала Easy Master AI