Building Generative AI Applications with Open-source Libraries

Generative AI is revolutionizing how we interact with technology, empowering us to create everything from compelling text to intricate code. This book is your practical guide to harnessing the power of open-source libraries, enabling you to build cutting-edge generative AI applications without needing extensive prior experience.

In this book, you will journey from foundational concepts like natural language processing and transformers to the practical implementation of large language models. Learn to customize foundational models for specific industries, master text embeddings, and vector databases for efficient information retrieval, and build robust applications using LangChain. Explore open-source models like Llama and Falcon and leverage Hugging Face for seamless implementation. Discover how to deploy scalable AI solutions in the cloud while also understanding crucial aspects of data privacy and ethical AI usage.

By the end of this book, you will be equipped with technical skills and practical knowledge, enabling you to confidently develop and deploy your own generative AI applications, leveraging the power of open-source tools to innovate and create.

WHAT YOU WILL LEARN
● Building AI applications using LangChain and integrating RAG.
● Implementing large language models like Llama and Falcon.
● Utilizing Hugging Face for efficient model deployment.
● Developing scalable AI applications in cloud environments.
● Addressing ethical considerations and data privacy in AI.
● Practical application of vector databases for information retrieval.

WHO THIS BOOK IS FOR
This book is for aspiring tech professionals, students, and creative minds seeking to build generative AI applications. While a basic understanding of programming and an interest in AI are beneficial, no prior generative AI expertise is required.

1. Getting Started with Generative AI
2. Overview of Foundational Models
3. Text Processing and Embeddings Fundamentals
4. Understanding Vector Databases
5. Exploring LangChain for Generative AI
6. Implementation of LLMs
7. Implementation Using Hugging Face
8. Developments in Generative AI
9. Deployment of Applications
10. Generative AI for Good

Srikannan Balakrishnan is a highly accomplished technology professional with more than 15 years of industry experience in data and AI. He is a motivated AI/ML professional and a technical writer with a passion for translating complex information into more straightforward insights. His experienced background in data science and machine learning, which fuels his ability to understand the intricacies of the subject matter and present it in a way that is accessible to both technical and non-technical audiences. He also has working experience in generative AI and worked with different clients to solve their business problems with the power of large language models.

Beyond his technical expertise, he is a skilled communicator with a keen eye for detail. He is dedicated to crafting user-friendly documentation that empowers readers to grasp new concepts and confidently navigate complex systems. His expertise and deep understanding of the subject matter have made him an active technical reviewer of different books on AI, including Building Data-Driven Applications with Llama Index. He has also published blogs on data science and machine learning and facilitated sessions on online forums about knowledge graphs in generative AI.

Throughout his career, he has been committed to AI's technical and ethical dimensions. He has worked on many pioneering projects and applied AI and ML to solve complex business challenges. His ability to explain complex concepts in a clear and engaging manner has earned them a reputation as an exceptional guide in the rapidly evolving world of AI.

Passionate about the responsible development and use of AI, the author is an advocate for transparency, fairness, and ethical considerations in technology. His profound knowledge and awareness of technological advancements allow him to stay at the forefront of emerging technologies and provide innovative solutions and insights in his field.