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Название: Ultimate ChatGPT Handbook for Enterprises: Transform the Enterprise Landscape by Leveraging AI Capabilities, Prompt Engineering, GPT Solution-Cycles of ChatGPT with Python and Java
Автор: Harald Gunia, Massimiliano Zattera, Karolina Galinska
Издательство: Orange Education Pvt Ltd, AVA
Год: November 2023
Страниц: 616
Язык: английский
Формат: epub (true)
Размер: 16.9 MB

Empowering the Global Workforce with ChatGPT Expertise.

The first chapter provides a solid foundation by tracing the evolution of GPT models and exploring the strides towards Artificial General Intelligence (AGI) and Generative AI made by GPT-4 and its plugin ecosystem. The narrative then introduces the CapabilityGPT framework, a practical methodology for leveraging the expansive capabilities of ChatGPT in enterprise settings.

We then delve into the collaborative dynamics between humans and AI across various enterprise roles and explore architectural patterns to guide the adoption of Generative AI in the enterprise IT landscape. Detailed discussions around advanced GPT prompt engineering techniques and prompt-based intelligent assistants offer an accelerated pathway to creating robust AI solutions.

In the concluding chapters, the focus shifts to the practical execution of agile GPT projects, drawing from the rich experience of the authors acquired during multiple pioneering GPT engagements, alongside hands-on applications through frameworks like LangChain and predictive-powers for Python and Java developers respectively.

Language Models are a groundbreaking innovation in Artificial Intelligence (AI). They are AI systems designed to understand, generate, and interact with human language, and their prowess is rooted in a special Deep Learning architecture known as Transformers, which were introduced in 2017. Transformers employ a unique attention mechanism, enabling them to discern the relevance of words within an input sentence when generating an output sentence.

In addition to natural languages, ChatGPT is capable of understanding and coding in multiple programming languages, such as Python, javascript, C++, Java, and SQL, which boosts its utility and appeal to developers.

This book offers practical insights and applicable skills, fostering informed dialogue and active participation in the ongoing enterprise AI revolution.

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