Building Intelligent Applications with Generative AI

Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications.

Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. 

Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways.

KEY FEATURES  

• Learn the fundamentals of generative AI and the practical usage of prompt engineering.
• Gain hands-on experience in building generative AI applications.
• Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots.

WHAT YOU WILL LEARN

• Understand generative AI (GAI) and large language models (LLMs).
• Explore real-world GAI applications across industries.
• Build intelligent applications with the ChatGPT API.
• Explore retrieval augmented generation with LangChain and Gemini Pro.
• Create chatbots with LangChain and Streamlit for data retrieval.

WHO THIS BOOK IS FOR

This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains.

1. Exploring the World of Generative AI
2. Use Cases for Generative AI Applications
3. Mastering the Art of Prompt Engineering
4. Integrating Generative AI Models into Applications
5. Emerging Trends and the Future of Generative AI
6. Building Intelligent Applications with the ChatGPT API
7. Retrieval Augmented Generation with Gemini Pro
8. Generative AI Applications with Gradio
9. Visualize your Data with LangChain and Streamlit
10. Building LLM Applications with Llama 2
11. Building an AI Document Chatbot with Flowise AI
12. Best Practices for Building Applications with Generative AI
13. Ethical Considerations of Generative AI

Yattish Ramhorry is the visionary CTO and founder of 4IR Technologies, a leading technology firm in Johannesburg, South Africa. With over 20 years of software development experience, he has spearheaded projects ranging from simple web apps to complex distributed systems.

A passionate mentor, Yattish supports aspiring software developers across Africa through the Google Developers Exchange program. He also organized the Johannesburg School of AI Meetups at Microsoft South Africa from 2018 to 2020.

As an advocate for Ethical AI, Yattish writes extensively on Software Development, Generative AI, and Responsible AI, with articles featured in prominent publications like Data Driven Investor and Analytics Vidhya. Yattish also serves as an AI Ethics Consultant at Ethical Intelligence, where he works on fostering ethical AI practices within organizations.

Building Intelligent Applications with Generative AI is not Yattish’s first book. He has previously written and published Building NFTs with Ethereum in February 2023.