Large Language Models for Mortals: A Practical Guide for Analysts with Python (crimede-coder.com)

The newly released book, *Large Language Models for Mortals: A Practical Guide for Analysts with Python*, is designed to empower analysts and data scientists in effectively utilizing large language models (LLMs). Priced at $59.99 for paperback and $49.99 for epub, the book offers a comprehensive tutorial on how to work with major LLM providers such as OpenAI, Anthropic, Google, and AWS Bedrock. It covers essential topics, including API calls, structured outputs, and advanced applications like Retrieval-Augmented Generation (RAG) and tool-calling protocols, providing over 250 Python code snippets and 80 screenshots to ensure practical engagement. This publication is significant for the AI/ML community as it demystifies LLM technologies and their applications, particularly for professionals transitioning from traditional machine learning to LLM-driven tasks. The author emphasizes the rapid advancements in data science and the importance of acquiring foundational knowledge in LLM usage, targeting a broad audience from PhD students to traditional data scientists. With detailed chapters on various APIs and practical examples tailored to both general and specific use cases, the book aims to establish a solid foundation for building real-world LLM applications in various fields, making it a valuable resource for anyone looking to navigate the evolving landscape of AI.