by Ben Auffarth
Book description
The]The]As you progress through the chapters, you’ll use transformer models and diverse attention mechanisms, refining the intricate process of training and fine-tuning. You'll get to grips with data-driven decision-making with automated analysis and visualization using pandas and Python. You’ll also take a closer look at the heuristics of how to use these models, prompting, training and fine-tuning, and deploying at scale.
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<span]The book is for developers, researchers, and anyone interested in learning more about LLMs. Written in a clear and concise style, this book includes plenty of code examples to help readers learn with practise. Whether you are a beginner or an experienced developer, this book will be a valuable resource for anyone who wants to get the most out of LLMs and is looking to stay ahead of the curve in the LLMs and LangChain arena. Basic knowledge of Python is a prerequisite, while some prior exposure to machine learning will help you follow along more easily.


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