July 2024
Beginner to intermediate
190 pages
5h 30m
English
Overview
Dive into the compelling world of generative AI with 'Generative AI Foundations in Python'. This book provides a blend of theory and hands-on application to help you master foundational concepts such as LLMs, fine-tuning, prompt engineering, and ethical AI. By understanding these techniques, you'll be equipped to create impactful AI systems leveraging the latest advancements in large language models.
What this Book will help me do
- Learn the fundamentals of generative AI and the underlying NLP concepts.
- Understand cutting-edge architectures such as GANs, transformers, and diffusion models.
- Gain expertise in fine-tuning LLMs for domain-specific tasks to maximize relevance.
- Master the art of prompt engineering and deploying effective generative solutions.
- Develop skills in implementing ethical and responsible generative AI practices to mitigate harmful outcomes.
Author(s)
Carlos Rodriguez, an experienced AI researcher and engineer, brings years of expertise in developing NLP solutions and designing scalable machine learning pipelines. With a focus on practical implementation, Carlos has worked extensively in the field of generative AI, leveraging state-of-the-art models to solve critical problems. His approachable and insightful writing style aims to demystify complex topics for practitioners.
Who is it for?
Ideal for developers, data scientists, and machine learning engineers interested in generative AI. A good fit if you have a foundation in machine learning and Python. Suited for professionals eager to integrate AI into real-world applications and advance their knowledge in LLMs. Perfect for those looking to reduce AI biases and implement trustworthy generative systems.
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