Mastering Generative AI and Prompt Engineering: A Practical Guide for Data Scientists

Livro digital

Título:
Mastering Generative AI and Prompt Engineering: A Practical Guide for Data Scientists

Autor:
Data Science Horizons

Categoria:
Tecnologia > IA

Doador:
Raffaello D. N.

Sinopse:
For readers trying to make sense of generative AI beyond the hype, this guide starts with a concrete sequence: an introduction, then Chapter 1 on understanding generative AI, followed by Chapter 2 on prompt engineering, and then a progression into practical applications, limitations, future directions, and hands-on best practices. That structure makes the book feel like a working roadmap, not a loose overview, and it is especially relevant for data scientists who need a dependable entry point into a fast-moving field. The contents move from the evolution of AI and key model families such as RNNs, LSTMs, GPT, VAEs, and GANs to the practical mechanics of prompt types, prompt design, and workflow building. It also goes further than a simple primer by including ethics, bias, quality, reliability, and the tradeoff between guidance and flexibility. The appendices suggest a further-reading angle, which makes the book feel built for continued study rather than a one-pass summary. As a result, this is best read as a practical technical introduction with a strong focus on application. It gives the reader a clear mental model of how generative systems work, where prompt engineering fits, what can go wrong, and how to improve outputs in real projects. The value here is not just conceptual clarity, but a usable framework for applying generative AI more thoughtfully and effectively in data science work.