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Ryota-Kawamura/README.md

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  1. Generative-AI-with-LLMs Generative-AI-with-LLMs Public

    In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

    Jupyter Notebook 470 373

  2. Mathematics-for-Machine-Learning-and-Data-Science-Specialization Mathematics-for-Machine-Learning-and-Data-Science-Specialization Public

    Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of mach…

    Jupyter Notebook 376 178

  3. LangChain-for-LLM-Application-Development LangChain-for-LLM-Application-Development Public

    In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

    Jupyter Notebook 182 147

  4. How-Diffusion-Models-Work How-Diffusion-Models-Work Public

    In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this cour…

    Jupyter Notebook 132 81

  5. Building-Systems-with-the-ChatGPT-API Building-Systems-with-the-ChatGPT-API Public

    In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

    Jupyter Notebook 56 56

  6. LangChain-Chat-with-Your-Data LangChain-Chat-with-Your-Data Public

    Start building practical applications that allow you to interact with data using LangChain and LLMs.

    Jupyter Notebook 42 42