Hands On Large Language Models is popular PDF and ePub book, written by Jay Alammar in 2024-09-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Hands On Large Language Models can be Read Online from any device for your convenience.
Hands On Large Language Models Book PDF Summary
AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. You'll learn how to use the power of pre-trained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large amounts of text documents; and use existing libraries and pre-trained models for text classification, search, and clusterings. This book also shows you how to: Build advanced LLM pipelines to cluster text documents and explore the topics they belong to Build semantic search engines that go beyond keyword search with methods like dense retrieval and rerankers Learn various use cases where these models can provide value Understand the architecture of underlying Transformer models like BERT and GPT Get a deeper understanding of how LLMs are trained Understanding how different methods of fine-tuning optimize LLMs for specific applications (generative model fine-tuning, contrastive fine-tuning, in-context learning, etc.)
Detail Book of Hands On Large Language Models PDF
- Author : Jay Alammar
- Release : 11 September 2024
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781098150921
- Genre : Computers
- Total Page : 449 pages
- Language : English
- PDF File Size : 20,8 Mb
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