دانلود کتاب LangChain برای علوم زیستی و مراقبت‌های بهداشتی

At the time of this book’s publication, we’re moving from reasoners to agents. This book will allow you to go even further and develop your own agents and multi-agent innovators, capable of creating new ideas and brainstorming. The book is separated into two parts. Part I is dedicated to setting the stage: Chapter 1 surveys the modern generative AI landscape. Chapter 2 discusses how large language models work. Chapter 3 teaches how to use LangChain components. Chapter 4 describes what hallucinations are, when to use them, and how to avoid them. Chapter 5 discovers ways in which LangChain applications can speed up general research with a debate machine and showcases simple LangGraph teams. Part II is dedicated to research, life science domains, and building commercial applications: Chapter 6 examines fine-tuned chemical models and teaches how to build multifunctional chemistry AI assistants. Chapter 7 develops research teams with an AlphaFold team member, DNA generation agents, and many more, followed by fine-tuning a DeepSeek reasoning model on biological data. Chapter 8 explores how to generate molecules with preset characteristics using variational autoencoders and looks into merging graph technologies with generative AI. Chapter 9 builds a powerful LangGraph team of different AI superagents, responsible for speech-totext, retrieving table data, generating reports, and performing hypothesis reasoning. Chapter 10 concludes the book by discussing guardrails and best practices regarding data privacy, security, and compliance, looking into some alternatives such as LlamaIndex, CrewAI, and AutoGen, and creating live-time production generative AI applications with LangChain and its add-ons.