[{"data":1,"prerenderedAt":186},["ShallowReactive",2],{"navigation_docs_en":3,"\u002Fen\u002Fai-engineering\u002Fintro\u002Fch015-summary":46,"\u002Fen\u002Fai-engineering\u002Fintro\u002Fch015-summary-surround":183},[4],{"title":5,"icon":6,"path":7,"stem":8,"children":9,"page":45},"AI Engineering",null,"\u002Fen\u002Fai-engineering","en\u002F1.ai-engineering",[10],{"title":11,"icon":12,"path":13,"stem":14,"children":15,"page":45},"Introduction to Building AI Applications with Foundation Models","i-lucide-brain-circuit","\u002Fen\u002Fai-engineering\u002Fintro","en\u002F1.ai-engineering\u002F1.intro",[16,20,25,30,35,40],{"title":11,"path":17,"stem":18,"icon":19},"\u002Fen\u002Fai-engineering\u002Fintro\u002Fch01","en\u002F1.ai-engineering\u002F1.intro\u002Fch01","i-lucide-sparkles",{"title":21,"path":22,"stem":23,"icon":24},"The Rise of AI Engineering","\u002Fen\u002Fai-engineering\u002Fintro\u002Fch011-the-rise-of-ai-engineering","en\u002F1.ai-engineering\u002F1.intro\u002Fch011-the-rise-of-ai-engineering","i-lucide-history",{"title":26,"path":27,"stem":28,"icon":29},"Foundation Model Use Cases","\u002Fen\u002Fai-engineering\u002Fintro\u002Fch012-foundation-model-use-cases","en\u002F1.ai-engineering\u002F1.intro\u002Fch012-foundation-model-use-cases","i-lucide-layout-grid",{"title":31,"path":32,"stem":33,"icon":34},"Planning AI Applications","\u002Fen\u002Fai-engineering\u002Fintro\u002Fch013-planning-ai-applications","en\u002F1.ai-engineering\u002F1.intro\u002Fch013-planning-ai-applications","i-lucide-clipboard-list",{"title":36,"path":37,"stem":38,"icon":39},"The AI Engineering Stack","\u002Fen\u002Fai-engineering\u002Fintro\u002Fch014-the-ai-engineering-stack","en\u002F1.ai-engineering\u002F1.intro\u002Fch014-the-ai-engineering-stack","i-lucide-layers",{"title":41,"path":42,"stem":43,"icon":44},"Summary","\u002Fen\u002Fai-engineering\u002Fintro\u002Fch015-summary","en\u002F1.ai-engineering\u002F1.intro\u002Fch015-summary","i-lucide-flag",false,{"id":47,"title":41,"body":48,"description":177,"extension":178,"links":6,"meta":179,"navigation":180,"path":42,"seo":181,"stem":43,"__hash__":182},"docs_en\u002Fen\u002F1.ai-engineering\u002F1.intro\u002Fch015-summary.md",{"type":49,"value":50,"toc":172},"minimark",[51,77,82,134,142,146,153,165],[52,53,54,59],"u-page-hero",{},[55,56,58],"template",{"v-slot:title":57},"","Chapter Summary",[55,60,61,70],{"v-slot:description":57},[62,63,64,65,69],"p",{},"This chapter had ",[66,67,68],"strong",{},"two purposes",": explain the emergence of AI engineering as a discipline thanks to the availability of foundation models, and give an overview of the process needed to build applications on top of these models.",[62,71,72,73,76],{},"As an overview chapter, it only ",[66,74,75],{},"lightly touched"," on many concepts. These will be explored further in the rest of the book.",[78,79,81],"h2",{"id":80},"what-this-chapter-covered","What This Chapter Covered",[83,84,85,106,114,123],"card-group",{},[86,87,89,90,93,94,97,98,101,102,105],"card",{"icon":24,"title":88},"The Rapid Evolution of AI","The transition from language models to ",[66,91,92],{},"large language models",", thanks to a training approach called ",[66,95,96],{},"self-supervision",". Then how language models incorporated other data modalities to become ",[66,99,100],{},"foundation models",", and how foundation models gave rise to ",[66,103,104],{},"AI engineering",".",[86,107,110,111,105],{"icon":108,"title":109},"i-lucide-grid","Application Patterns","The rapid growth of AI engineering is motivated by the many applications enabled by emerging capabilities. The chapter discussed some of the most successful application patterns, both for ",[66,112,113],{},"consumers and enterprises",[86,115,118,119,122],{"icon":116,"title":117},"i-lucide-circle-help","Should You Build It?","Before building an application, an important yet often overlooked question is ",[66,120,121],{},"whether you should build it",". The chapter discussed this question alongside major considerations for building AI applications.",[86,124,125,126,129,130,133],{"icon":39,"title":36},"AI engineering evolved out of ",[66,127,128],{},"ML engineering",". Many ML principles still apply, but AI engineering brings ",[66,131,132],{},"new challenges and solutions",". The last section discussed how the stack has changed.",[135,136,137,138,141],"note",{},"Despite the incredible number of AI applications already in production, ",[66,139,140],{},"we're still in the early stages of AI engineering",", with countless more innovations yet to be built.",[78,143,145],{"id":144},"navigating-the-overwhelm","Navigating the Overwhelm",[62,147,148,149,152],{},"One aspect of AI engineering that is especially challenging to capture in writing is the incredible amount of ",[66,150,151],{},"collective energy, creativity, and engineering talent"," that the community brings. This collective enthusiasm can often be overwhelming, as it's impossible to keep up-to-date with new techniques, discoveries, and engineering feats that seem to happen constantly.",[154,155,156,157,160,161,164],"tip",{},"One consolation is that since AI is great at information aggregation, it can ",[66,158,159],{},"help us aggregate and summarize all these new updates",". But tools can help only to a certain extent. The more overwhelming a space is, the more important it is to have a ",[66,162,163],{},"framework to help us navigate it",". This book aims to provide such a framework.",[62,166,167,168,171],{},"The rest of the book will explore this framework step-by-step, starting with the fundamental building block of AI engineering: ",[66,169,170],{},"the foundation models"," that make so many amazing applications possible.",{"title":57,"searchDepth":173,"depth":173,"links":174},2,[175,176],{"id":80,"depth":173,"text":81},{"id":144,"depth":173,"text":145},"A recap of how foundation models gave rise to AI engineering, the application patterns enabled, and the framework this book provides.","md",{},{"icon":44},{"title":41,"description":177},"WSNrhhPNPoYvadLsD1Yhd56OU9gJn0QlCHzRLyxjXyg",[184,6],{"title":36,"path":37,"stem":38,"description":185,"icon":39,"children":-1},"The three layers of the AI stack, how AI engineering differs from ML engineering and full-stack development, and how foundation models reshape model and application development.",1778484800933]