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    Back to Open Source LLMOps Solutions

    Learner Reviews & Feedback for Open Source LLMOps Solutions by Duke University

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    4.7
    stars
    10 ratings

    About the Course

    Learn the fundamentals of large language models (LLMs) and put them into practice by deploying your own solutions based on open source
    models. By the end of this course, you will be able to leverage state-of-the-art open source LLMs to create AI applications using a code-first
    approach. You will start by gaining an in-depth understanding of how LLMs work, including model architectures like transformers and
    advancements like sparse expert models. Hands-on labs will walk you through launching cloud GPU instances and running pre-trained models
    like Code Llama, Mistral, and stable diffusion. The highlight of the course is a guided project where you will fine-tune a model ...
    ...

    Top reviews

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    1 - 3 of 3 Reviews for Open Source LLMOps Solutions

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    By Nicole D

    •

    Aug 22, 2024

    Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Kenneth B

    •

    Nov 6, 2024

    Exceptional series of courses

    Filled StarFilled StarFilled StarFilled StarStar

    By Alexander D

    •

    Dec 20, 2024

    Generally a very interesting specialization. Especially the parts presented by Alfredo were well structured and providing the needed insights into the concepts, challenges and tools. The labs were also very helpful for hands-on experience. Great! However it was evident and annoying, that a significant part of the material was added just to boost the volume or rather as a precondition to have the Duke's logo on it, absolutely missing the point of the course. Like focusing on solving some beginner level pure low level programming tasks inside the course on Databricks and LLMs. Why? Quite detached from real world business tasks, which is not unusual for universities, though. And, I agree, Rust is cool for certain tasks, but it was a bit too much of pushing it repeatedly. However all in all, very informative, my recommendations, helpful and interesting, thanks a lot!

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