Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.
Please read the tutorial at this link. https://ebooknice.com/page/post?id=faq
We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.
For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.
EbookNice Team
Status:
Available0.0
0 reviewsExplore the evolution of AI and ML, starting with foundational concepts and historical milestones, progressing to the fascinating realm of generative models and the revolutionary rise of transformer architectures like GPT. Discover the art and science behind crafting effective prompts, exploring various prompt types, understanding the significance of tokens and syntax, and implementing efficiency strategies. You will gain insights into practical tools and platforms, alongside a crucial understanding of the ethical and societal implications and the financial considerations of working with AI. Finally, explore real-world applications through examples of cutting-edge chatbots and AI systems. The book covers ethical practices and best practices that help users achieve efficiency while also considering AI's broader impacts on privacy, security, and fairness.
By the end of this book, you will possess a solid understanding of the technological underpinnings of modern AI and the practical expertise to engineer compelling and effective prompts. You will be well-equipped to navigate the evolving world of AI and leverage its capabilities with confidence and competence.
What you will learn
● Grasp AI/ML Foundations, historical context, diverse learning paradigms, and core concepts.
● Understand AI, ML Foundations, Transformer-based systems, and the future directions of prompt engineering.
● Explore generative models' development, GAN mechanics, and the shift towards transformers.
● Comprehend transformer architecture, self-attention, and the rise of GPT-like models.
● Master …
4.9
6 reviews
4.8
39 reviews
4.5
20 reviews
4.6
20 reviews
5.0
25 reviews
4.4
19 reviews
4.4
38 reviews