Covers core generative AI concepts including GANs, transformers, and diffusion models for a solid theoretical foundation
Guided Python tutorials enable hands-on implementation of generative models and AI applications
Focuses on prompt engineering, fine-tuning, and domain adaptation for real-world problem-solving
Discusses ethical and responsible AI practices to minimize bias and toxicity
Includes a free PDF ebook for added value with print or Kindle book purchase
Summarized by Shop
Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features
Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation
Use transformers-based LLMs and diffusion m
Format
E-Book
Language
English
Prerequisites
Basic understanding of machine learning and Python
Key Topics
Generative models, fine-tuning, prompt engineering, domain adaptation, ethical AI