Generative AI in Action by Amit Bahree.
Amit holds an MSc in Software Engineering from the University of Oxford and a BSc in Computer Science from the University of Pune. He previously served as Chief Technology Innovation Officer at Avanade. He is also a co-author of Pro WCF: Practical Microsoft SOA Implementation. Today he serves as a Principal Group Product Manager for the Azure AI engineering team at Microsoft.
Generative AI in Action certainly provides a high-level roadmap for integrating Large Language Models into organizational enterprise environments. He is linking the “magic” of AI’s hype cycle with the demands of production architectures across diverse organizations.
This is not a “how to use ChatGPT” guide for non-technical users. This is however a good book for experienced software developers, architects, and data scientists who are new to AI. It explains the core concepts from scratch and provides a learning path sans PhD in mathematics. So, generating quick prompts from poetry to dinner recipes, the demands of building enterprise, scalable AI services is rather challenging.
Gen AI in three phases
Amit presents the book in three phases. First, he starts with foundational concepts, showing differences between LLMs and Small Language Models and Machine Learning. Second, he outlines advanced techniques including Retrieval-Augmented Generation (RAG). He positions RAG as a “secret weapon” for enterprises, since this models are structured to access private company data without the demands of retraining’s large costs. It is in fact, key that here he is addressing “chain-of-thought” reasoning which reveals how to reduce hallucinations. The final segment is Operationalizing AI. He is revealing cost management, latency, security, and ethics.
In conclusion, Alejandro views LLMs not as a replacement for financial analysts, but as an intelligent assistant. By offloading the “drudge work” of data processing to ChatGPT, analysts can focus on high-level strategy and ethical oversight.