Generative AI in Practice: A Comprehensive Guide to Techniques and Applications
About this ebook
Here's what you'll find inside:
Breakthrough Techniques: Explore prominent methods like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in a clear and engaging way.
Real-World Applications: Witness the transformative impact of Generative AI across various sectors, from accelerating drug discovery in healthcare to automating code generation in software development.
The Power of Creation: Discover how Generative AI can fuel creativity in design, content creation, and education, offering inspiration and boosting efficiency.
Generative AI in Practice equips you with the knowledge to harness this groundbreaking technology:
Essential Tools and Platforms: Learn about popular generative AI tools and platforms readily available for you to explore and experiment with.
Seamless Integration: Discover strategies to integrate Generative AI seamlessly into your existing workflows, maximizing its impact.
The Ethical Landscape: Address crucial considerations surrounding data bias, fairness, and the responsible development of Generative AI.
This book empowers you to:
Understand the core concepts of Generative AI and its potential to create entirely new data formats.
Implement generative techniques to automate tasks, enhance creative processes, and solve problems in your field.
Become a responsible user of Generative AI, fostering innovation while considering ethical implications.
Generative AI in Practice is your one-stop guide to understanding, implementing, and harnessing the power of Generative AI, whether you're a business leader, a creative professional, a developer, or simply curious about the future of technology.
About the author
I am Anand V, a seasoned Enterprise Architect with extensive experience in AI and Generative AI technologies. My expertise includes implementing advanced AI solutions such as H20, Google TensorFlow, and MNIST, and leading digital transformation projects incorporating AI/ML, AR/VR, and RPA. I have integrated Generative AI tools, such as OpenAI's GPT, into enterprise architectures to enhance customer experiences and drive innovation. My work includes developing transformer models, fine-tuning pre-trained language models, and implementing neural network architectures for natural language processing (NLP) tasks. Additionally, I have utilized techniques such as deep reinforcement learning, variational autoencoders, and GANs for complex data synthesis and predictive analytics. My leadership in deploying AI-driven methodologies has significantly improved business performance across various industries.
