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From software engineering with top-of-the-line AI assistance, to building your own AI models and apps, these Manning books are perfect for understanding everything AI.
New MEAP! AI Recommender Systems
Each recommender system is a unique blend of data engineering, performance optimization, and, now, also AI-led tools like agents and RAG. As a developer, you also need an efficient process to interpret the domain in which you’re working and to train your system to respond to actual customer demand. And you have to understand your algorithms—where they’re strong, where they’re blind, how to shape output to the constraints your business cares about, and how to evolve with changing needs.
modern recommender system, from candidate generation and filtering to scoring and reranking, and describes where LLMs can help. You'll learn to read the signals hiding in your data, including content metadata and user behavior, and to evaluate recommenders against the specific use cases they need to support. Along the way, you’ll learn how to integrate custom prompts, retrieval-augmented generation, and agents into new designs as well as how to retrofit them into your existing systems. [Read more]
4 chapters of this new MEAP are available now with more to follow soon!
New MEAP! A practical, accessible introduction to generative AI for professionals, educators, managers, students, and content creators who want to understand how AI models, applications, and agents work so they can use it effectively. Based on author Matthew Berman’s wildly popular YouTube videos, this entertaining and insightful book guides you from square one without a lot of math, code, and technical jargon. [Read more]
3 chapters of this MEAP are available now, with more to follow soon!
