Hands-On Large Language Models: Language Understanding and Generation
CLP 113299
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Detalles de producto
- 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 |
| Item Weight | 1.5 lbs (680 grams) |
DESCRIPCIÓN DEL PRODUCTO
Hands-On Large Language Models: Language Understanding and Generation
Preguntas y respuestas de los clientes
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Pregunta:
What skills will I gain from this book?
Respuesta: You will learn practical tools for using pretrained language models and techniques for building semantic search systems. -
Pregunta:
Is prior knowledge of AI necessary to understand this book?
Respuesta: No, the book is designed to be accessible and educational for readers at various levels of expertise in AI. -
Pregunta:
What type of applications can I expect to build after reading this book?
Respuesta: 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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ventajas
- Comprehensive coverage of topics
- Engaging writing style
- Practical examples provided
- User-friendly for beginners
- Up-to-date information
Contras
- Some chapters may be too detailed for casual readers.
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CLP 113299
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características y beneficios
- 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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