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.
- Full details: https://pragprog.com/titles/jwpaieng
- View this book’s portal and details on how to post errata and suggestions here.
Don’t forget you can get 35% off with your Devtalk discount! Just use the coupon code “devtalk.com" at checkout 
Latest Threads About This Book
Most Active This Week
Most Active This Month
Most Active This Year
Most Active Last Three Years
Most Active Over Three Years
Latest in A Common-Sense Guide to AI Engineering
Get money off!
The Pragmatic Bookshelf
35% off any eBook
Use the coupon code "devtalk.com" to get 35% off any eBook published by PragProg!
Filter by Type:
Related Portals
-
None added yet
Devtalk Sponsors
Practical resources that improve the lives of professional developers.
We build trusted fault-tolerant systems that scale to billions of users.
Real-time error tracking, performance insights, and observability for devs.
Supporting innovation across the BEAM ecosystem.
Develop your skills with books, videos, and courses.
Catch errors, track performance, monitor hosts and more.
Enabling companies to succeed by building software people love.
Courses that move you from confusion to "Aha, now I get it!"