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About Designing Large Language Model Applications: A Holistic Approach to LLMs
Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models. Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. You’ll take a comprehensive deep dive into the ingredients that make up a language model, explore various techniques for customizing them such as fine-tuning, learn about application paradigms like RAG (retrieval-augmented generation) and agents, and more. This book is intended for a broad audience, including software engineers transitioning to AI application development, Machine Learning practitioners and scientists, and product managers. The only prerequisites for this book are knowledge of Python coding and an understanding of basic Machine Learning and Deep Learning principles.
Detailed Information
| Author: | Suhas Pai |
|---|---|
| Publication Year: | 2025 |
| ISBN: | 9781098150501 |
| Language: | English |
| File Size: | 6.9 |
| Format: | |
| Price: | FREE |
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