"The Quick Guide to Large Language Models" is a practical guide that clarifies their application and integration into projects and products. The author, Sinan Ozdemir, offers step-by-step instructions, best practices, and real-world use cases, ensuring that readers can get started even without prior experience with LLMs.

The guide covers important concepts such as pre-training, transfer learning, fine-tuning, and prompt placement. There are also practical exercises for applying Python and APIs to tailor LLMs to your needs. Learn how to develop information retrieval systems and leverage advanced prompting techniques such as output structuring and intentional promotion with minimal samples.

The edition includes additional resources on the book’s website, such as sample data and code for working with open-source and closed-source LLMs, like those from OpenAI, Google, and Meta. This comprehensive knowledge resource bridges the gap between theoretical concepts and practical application, offering a valuable guide to industry professionals.

Pages: 288, Dimensions: 17.5x17.5cm