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Flowise: A Hands-on Guide to Building LLM Applications and Ai Agents
A Hands-on Guide to Building LLM Applications and AI Agents is your definitive roadmap to mastering the cutting-edge world of artificial intelligence. Whether you're a seasoned developer looking to expand your skills or a beginner eager to dive into the transformative world of large language models (LLMs) and AI agents, this book offers a comprehensive, practical, and accessible approach to modern AI development.
Inside, you'll
Foundational
Journey from the evolution of early NLP systems to the breakthrough Transformer architectures that power today’s LLMs. Learn how these models work—from self-attention and tokenization to advanced training techniques—laying the groundwork for everything that follows.Hands-On Development with
Explore the innovative Flowise framework, a modular and intuitive platform designed to simplify the process of building, deploying, and managing AI applications. Follow step-by-step instructions as you build your first pipelines, integrate custom nodes, and orchestrate complex workflows using both a graphical user interface and a command-line interface.Practical
Gain real-world insights into prompt engineering, fine-tuning, and deploying AI agents. With detailed tutorials, complete code examples, and practical use cases across diverse domains—such as healthcare, finance, e-commerce, and education—you’ll learn how to create intelligent systems that solve industry-specific challenges.Advanced Techniques and Emerging
Push the boundaries of AI with advanced topics like reinforcement learning from human feedback (RLHF), multi-modal integration, and continual learning. Discover the next-generation of LLMs, including GPT-4, LLaMA 2, and PaLM 2, and understand how to balance open source innovation with proprietary advancements.Security, Ethics, and Responsible
In a world where data privacy and ethical considerations are paramount, this book equips you with best practices for securing AI workflows, mitigating bias, and ensuring compliance with regulations like GDPR and HIPAA. Learn how to develop responsible, sustainable AI systems that inspire trust and drive positive change.Deployment and
Master deployment strategies—from cloud-based solutions to on-premise setups—while leveraging containerization, orchestration (using Docker and Kubernetes), and CI/CD pipelines to ensure your AI applications run smoothly in production.Packed with real-world examples, comprehensive code samples, and clear explanations, A Hands-on Guide to Building LLM Applications and AI Agents empowers you to turn theory into practice. Unlock your potential in the dynamic field of AI and build the innovative, reliable, and ethically sound applications of tomorrow.
Inside, you'll
Foundational
Journey from the evolution of early NLP systems to the breakthrough Transformer architectures that power today’s LLMs. Learn how these models work—from self-attention and tokenization to advanced training techniques—laying the groundwork for everything that follows.Hands-On Development with
Explore the innovative Flowise framework, a modular and intuitive platform designed to simplify the process of building, deploying, and managing AI applications. Follow step-by-step instructions as you build your first pipelines, integrate custom nodes, and orchestrate complex workflows using both a graphical user interface and a command-line interface.Practical
Gain real-world insights into prompt engineering, fine-tuning, and deploying AI agents. With detailed tutorials, complete code examples, and practical use cases across diverse domains—such as healthcare, finance, e-commerce, and education—you’ll learn how to create intelligent systems that solve industry-specific challenges.Advanced Techniques and Emerging
Push the boundaries of AI with advanced topics like reinforcement learning from human feedback (RLHF), multi-modal integration, and continual learning. Discover the next-generation of LLMs, including GPT-4, LLaMA 2, and PaLM 2, and understand how to balance open source innovation with proprietary advancements.Security, Ethics, and Responsible
In a world where data privacy and ethical considerations are paramount, this book equips you with best practices for securing AI workflows, mitigating bias, and ensuring compliance with regulations like GDPR and HIPAA. Learn how to develop responsible, sustainable AI systems that inspire trust and drive positive change.Deployment and
Master deployment strategies—from cloud-based solutions to on-premise setups—while leveraging containerization, orchestration (using Docker and Kubernetes), and CI/CD pipelines to ensure your AI applications run smoothly in production.Packed with real-world examples, comprehensive code samples, and clear explanations, A Hands-on Guide to Building LLM Applications and AI Agents empowers you to turn theory into practice. Unlock your potential in the dynamic field of AI and build the innovative, reliable, and ethically sound applications of tomorrow.
186 pages, Hardcover
Published February 10, 2025
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