{"id":10733,"date":"2026-08-10T10:22:55","date_gmt":"2026-08-10T10:22:55","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-introduction-to-large-language-models-llms-and-prompt-engineering-2025-5\/"},"modified":"2026-08-10T10:22:55","modified_gmt":"2026-08-10T10:22:55","slug":"oreilly-introduction-to-large-language-models-llms-and-prompt-engineering-2025-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-introduction-to-large-language-models-llms-and-prompt-engineering-2025-5\/","title":{"rendered":"Oreilly \u2013 Introduction to Large Language Models (LLMs) and Prompt Engineering 2025-5"},"content":{"rendered":"
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Description<\/h2>\n

Introduction to Large Language Models (LLMs) and Prompt Engineering is a course published by Oreilly Online Academy that demystifies how AI language models like GPT work and how to effectively interact with them using rapid engineering techniques. Introduction to Large Language Models (LLMs) and Prompt Engineering is a beginner-friendly course designed to demystify how AI language models like GPT work and how to effectively interact with them using rapid engineering techniques. The course provides both conceptual understanding and practical tools to harness the power of LLMs in a variety of domains. Introduction to Large Language Models (LLMs) and Prompt Engineering guides you through the implementation of LLMs such as GPT, Llama, Claude, T5, and BERT at scale. The course provides a step-by-step approach to building and deploying LLMs, along with real-world case studies to illustrate the concepts.<\/p>\n

This course begins with the basics of LLMs and explains the architecture, capabilities, limitations, and role of transformative models in natural language processing. The course introduces rapid engineering strategies such as zero-shot, multi-shot, and thought chains to effectively guide model behavior. The course includes hands-on labs using tools such as the OpenAI Playground or APIs, and by the end, participants will be equipped to design high-quality stimuli and confidently integrate LLMs into projects or workflows.<\/p>\n

What you will learn in Introduction to Large Language Models (LLMs) and Prompt Engineering:<\/h3>\n