A Common-Sense Guide to AI Engineering (Pragmatic Bookshelf)
pragdave
Jay Wengrow
edited by Katherine Dvorak
Want to build an LLM-powered app but don’t know where to begin? Can’t get past a proof-of-concept? With this step-by-step guide, you can master the underlying principles of AI engineering by building an LLM-powered app from the ground up. Tame unpredictable models with prompt and context engineering. Use evals to keep them on track. Give chatbots the knowledge to answer anything a user wants to know. Equip agents with the tools and smarts to actually get the job done. By the end, you’ll have the intuition and the confidence to build on top of LLMs in the real world.
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