Eden Marco

Eden Marco

LLM Specialist at Google

    Eden is a seasoned backend software engineer with deep expertise in generative AI, cloud, and cybersecurity. With years of experience in backend development, he currently works at Google as an LLM Specialist, assisting customers in implementing complex generative AI solutions on GCP using open-source frameworks like LangChain and Google's generative AI services. Additionally, he is an educator, instructor and creator of best-selling Udemy courses on LangChain, LlamaIndex, LangGraph, and pytest. As an educator at heart, he is passionate about sharing knowledge and helping others learn.

    All Sessions by Eden Marco

    Training Europe 06/22/2024

    Develop LLM Powered Applications with LangChain and LangGraph

    LLMs | All Levels

    Welcome to an engaging and intensive hands-on workshop designed to unleash the power of LLM agents using the LangGraph library by LangChain. This two-hour session is crafted for AI practitioners who already possess a background in Python and familiarity with LangChain, aiming to elevate their skills in developing cutting-edge LLM agentic applications. In this workshop, we will dive deep into the advanced capabilities of LangGraph, exploring its integration with LangChain to create robust, efficient, and versatile LLM solutions. Our agenda includes a comprehensive introduction to key components such as LCEL, multi-agents, reflection agents, Reflexion agents, and more. Participants will also get hands-on experience with advanced RAG architectures. Key Learning Outcomes: Introduction to LangGraph: Understand the fundamental concepts and applications of LangGraph in the context of LLM agents. Advanced Agent Techniques: Implement multi-agents, reflection agents, and Reflexion agents to enhance the functionality and efficiency of LLM applications. RAG Methodologies: Explore and apply advanced RAG techniques such as Corrective RAG, Self RAG, and Adaptive RAG for improved retrieval and generation processes. Practical Application: Work on hands-on exercises and real-world projects to reinforce your understanding and skills. Target Audience: This workshop is not for beginners. It is tailored for professionals with a solid foundation in software engineering and proficiency in Python. Attendees should be comfortable using IDEs such as PyCharm or any preferred editor for debugging and running scripts. By the end of this workshop, participants will be equipped with the expertise to leverage LangGraph by LangChain for developing sophisticated LLM agents, ready to tackle a diverse range of applications in production environments.

    Open Data Science

     

     

     

    Open Data Science
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    info@odsc.com

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