Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

A comprehensive guide for developers creating AI and Large Language Model (LLM) applications. The book covers fundamental concepts such as prompt engineering and retrieval-augmented generation (RAG), explaining how to integrate external data and manage conversational memory. It thoroughly explores various cognitive architectures like chains, routers, and sophisticated agent designs with reflection capabilities, demonstrating how LangGraph facilitates stateful and multi-step AI application development. Additionally, the text provides practical insights into deploying, testing, evaluating, and monitoring LLM applications, emphasizing security best practices and continuous improvement throughout the development lifecycle.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Learning-LangChain-Building-Applications-LangGraph/dp/1098167287?&linkCode=ll1&tag=cvthunderx-20&linkId=a514b3bb5decec99810150239b6245a1&language=en_US&ref_=as_li_ss_tl

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CyberSecurity Summary is your go-to podcast for concise and insightful summaries of the latest and most influential books in the field of cybersecurity.Each episode delves into the core concepts, key takeaways, and practical applications of these books, providing you with the knowledge you need to stay ahead in the ever-evolving world of cybersecurity.Whether you’re a seasoned professional or just starting out, CyberSecurity Summary offers valuable insights and discussions to enhance your understanding and keep you informed.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summary