Generative AI is rapidly transforming the tech landscape, moving beyond research labs and into the hands of production engineers. However, for developers eager to build end-to-end applications leveraging this exciting technology, knowing where to begin can be challenging. This book serves as your essential guide, consolidating core models, frameworks, and tools into a single, accessible resource. Through practical, hands-on examples, you’ll navigate the generative AI ecosystem and gain the skills to build production-ready applications.
This comprehensive guide starts with a clear and concise introduction to transformer models, the bedrock of modern generative AI. It then progresses to explore popular large language models (LLMs) and diffusion models for image generation – the very models powering today’s cutting-edge AI innovations and the foundation for your future applications. You’ll delve into crucial tools for working with these models, beginning with Langchain, a powerful framework for developing foundational models. Mastering Langchain is the next vital step after understanding the core generative AI models themselves. Subsequent chapters cover essential topics for building scalable applications, including databases, caching strategies, and monitoring techniques. Throughout the book, you’ll find real-world examples that demonstrate the practical application of these models and tools.
By the time you reach the end of this book, you will be equipped to construct complete, end-to-end applications driven by generative AI. Furthermore, you’ll possess the knowledge to adapt and apply the tools and techniques learned to your specific use cases and business challenges.
Key Learning Points:
- Understanding the fundamentals of Generative AI.
- Exploring ChatGPT and GPT-4 and their capabilities.
- Dissecting language models and diffusion models in detail.
- Practical deployment of LangChain and HuggingFace.
Target Audience:
This book is tailored for software engineers with a few years of experience in application development across any language or infrastructure, who are looking to dive into the world of generative AI.
