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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Crafting Intelligent AI Agents: Leveraging Transformer LLMs for Real-World Applications: A Step-by-Step Guide from Understanding Transformers to Deplo

Crafting Intelligent AI Agents: Leveraging Transformer LLMs for Real-World Applications: A Step-by-Step Guide from Understanding Transformers to Deplo

Paperback

Series: AI Agent Mastery Series: Building, Scaling, and Integrating Intelligent AI Systems with Transformers, Book 1

General Computers

ISBN13: 9798294993337
Publisher: Independently Published
Published: Jul 31 2025
Pages: 226
Weight: 0.88
Height: 0.48 Width: 7.00 Depth: 10.00
Language: English
Unlock the power of transformer large language models (LLMs) with Crafting Intelligent AI Agents: Leveraging Transformer LLMs for Real-World Applications, a comprehensive, hands-on guide designed for developers, AI engineers, data scientists, and product leaders eager to build production-ready AI agents. Authored by Ethan Quan, this 14-chapter book dives deep into transformer fundamentals, covering attention mechanisms, embeddings, and architectures, and progresses to advanced topics like pretraining, fine-tuning at scale, and retrieval-augmented generation. Master self-correcting planning loops, tool integration, and robust inference pipelines with step-by-step tutorials, practical code snippets in Python and TypeScript, and real-world case studies such as boosting agent reliability by 25% with optimized prompting.

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