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Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications
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Become an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision.
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產品詳情
| Publisher | Packt Publishing |
| Publication date | 28 Mar. 2025 |
| Edition | 2nd |
| Language | English |
| Print length | 450 pages |
| ISBN-10 | 1835884458 |
| ISBN-13 | 978-1835884447 |
| Item weight | 776 g |
| Dimensions | 19.05 x 2.62 x 23.5 cm |
產品敘述
Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications
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AI & Machine Learning Editorial Review
Generative AI With Python And PyTorch Navigating The AI Frontier With LLMs, Stable Diffusion, And Next-gen AI Applications is a comprehensive guide published by Packt Publishing. This second edition, released on 28 March 2025, spans 450 pages and is written in English. The book not only dives deep into the intricacies of generative AI but also covers practical applications using popular tools like Python and PyTorch. Readers have praised its clarity and thorough approach, making complex topics digestible. If you're exploring AI applications or enhancing your programming skills, this book serves as an excellent resource for both beginners and seasoned practitioners.
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優點
- Comprehensive coverage of generative AI concepts
- Practical applications using Python and PyTorch
- Clear and digestible explanations for beginners
- Latest insights on LLMs and stable diffusion
- Well-structured with a 450-page length
缺點
- No additional resources or companion materials included
Product Price History
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特色和優勢
- Master GenAI techniques to create images and text.
- Implement real-world applications of LLMs and generative AI.
- Gain proficiency in fine-tuning models with PEFT and LoRA.
- Expand your skills with RAG techniques, LangChain, and LlamaIndex.
- Receive a free eBook with the purchase of print or Kindle.
- Designed for data scientists, ML engineers, and developers with Python experience.
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