- Version
- Download 0
- File Size 8.03 MB
- File Count 1
- Create Date May 9, 2025
- Last Updated May 9, 2025
Quick Start Guide to LLMs: Strategies and Best Practices for Using ChatGPT and Other LLMs by Sinan Ozdemir is a practical resource aimed at helping practitioners effectively utilize and optimize large language models (LLMs) such as ChatGPT. The book offers a clear overview of essential concepts and techniques, explaining how LLMs function and how they can be applied to a wide range of natural language processing (NLP) tasks.
It explores foundational topics including pre-training, transfer learning, attention mechanisms, embeddings, and tokenization. The guide also covers real-world applications such as deploying proprietary models, prompt engineering, fine-tuning GPT-3 with custom datasets, building recommendation systems, integrating multiple Transformer models, and deploying custom LLMs to cloud environments.
Advanced topics are also addressed, such as optimizing models through fine-tuning, advanced prompt engineering (including strategies for handling prompt injection and validation), customizing embeddings, and constructing multimodal Transformer architectures. The book emphasizes a hands-on approach, featuring step-by-step instructions, best practices, real-world case studies, and Python code examples to help readers implement the concepts effectively.
Overall, this guide bridges the gap between theoretical knowledge and practical implementation, making it accessible to both beginners and experienced professionals seeking to harness the power of LLMs for solving real-world challenges.