Hands-On Large Language Models: Language Understanding and Generation
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You'll learn practical tools and concepts you need to use these capabilities today.
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What Stands Out
產品詳情
- 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 lea Daha fazla göster
| Publishers | O'Reilly Media |
| Date of publication | September 20, 2024 |
| Prints | 1. |
| Language | English |
| Print Length | 400 pages |
| ISBN-10 | 1098150961 |
| ISBN-13 | 978-1098150969 |
| Dimensions | 17.78 x 2.21 x 23.34 cm |
Who Should Buy?
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Data Scientists
Ideal for professionals looking to integrate language models into data-centric applications and enhance data interpretation capabilities.
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AI Developers
Supports developers aiming to create conversational agents or applications utilizing natural language processing and understanding.
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Researchers
Valuable to researchers exploring the latest advancements in language models and their applications in various fields.
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Beginners
Not suitable for those with no prior knowledge of machine learning or natural language processing concepts.
產品敘述
客戶問題&回答
-
題:
What skills will I gain from this book?
回答: You will learn practical tools for using pretrained language models and techniques for building semantic search systems. -
題:
Is prior knowledge of AI necessary to understand this book?
回答: No, the book is designed to be accessible and educational for readers at various levels of expertise in AI. -
題:
What type of applications can I expect to build after reading this book?
回答: You can build applications like automated copywriting tools, advanced search systems, and document clustering pipelines.
İngilizce Baskı Jay Alammar Editorial Review
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優點
- Comprehensive coverage of topics
- Engaging writing style
- Practical examples provided
- User-friendly for beginners
- Up-to-date information
缺點
- Some chapters may be too detailed for casual readers.
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特色和優勢
- Explore the cutting-edge of AI language capabilities.
- Learn to use pretrained language models for various applications.
- Build advanced pipelines for document clustering and topic exploration.
- Create semantic search engines that surpass traditional keyword searching.
- Master generative models through effective prompt engineering and fine-tuning.
- Understand the architecture of Transformer models for improved text generation.
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