Iusztin, Paul, <br/><br/>
LLM engineer's handbook :  master the art of engineering large language models from concept to production / 
Paul Iusztin and Maxime Labonne. 
 - Birmingham, England :  Packt Publishing Limited,  2024. 
 - 522 pages :  illustrations ;  24 cm 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Understanding the LLM Twin concept and architecture -- Tooling and installation -- Data engineering -- RAG feature pipeline -- Supervised fine-tuning -- Fine-tuning with preference alignment -- Evaluating LLMs -- Inference optimization -- RAG inference pipeline -- Inference pipeline deployment -- MLOps and LLMOps -- MLOps principles. 
<br/><br/><label>ISBN: </label>9781836200062 (paperback) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Large language models.<br/>Artificial intelligence.<br/>Machine learning.<br/>Natural language processing (Computer science)<br/>Computer software--Development.
<br/><br/><label>Dewey Class. No.: </label>006.3  / IUS/L