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What are the pre-requisites for this bootcamp? Our goal is to get you 100% caught up to state-of-the-art and ready to build and deploy LLM apps, no matter what your level of experience with machine learning is. Please enjoy, and email us, tweet us, or post in our Discord if you have any questions or feedback! Learn to Spell: Prompt Engineering High-level intuitions for prompting Tips and tricks fo
Discussion of this page on Hacker News, May 21, 2023. Training and running neural networks often requires hardware acceleration, and the most popular hardware accelerator is the venerable graphics processing unit, or GPU. We have assembled cloud GPU vendor pricing all into tables, sortable and filterable to your liking! We have split the vendor offerings into two classes: GPU Cloud Servers, which
Detailed Contents Pre-Labs 1-3: CNNs, Transformers, PyTorch Lightning We review some prerequisites -- the DNN architectures we'll be using and basic model training with PyTorch -- and introduce PyTorch Lightning. Published August 10, 2022. Lecture 1: Course Vision and When to Use ML We review the purpose of the course and consider when it's a good (or bad!) idea to use ML. Published August 8, 2022
Info This is the page for the 2021 edition of the course. For the 2022 edition, click here. We've updated and improved our materials for our 2021 course taught at UC Berkeley and online. Synchronous Online Course We offered a paid synchronous option for those who wanted weekly assignments, capstone project, Slack discussion, and certificate of completion. Enter your email below or follow us on Twi
Spring 2019 Full Stack Deep Learning Bootcamp Hands-on program for developers familiar with the basics of deep learning Training the model is just one part of shipping a Deep Learning project. In this course, we teach the full stack of production Deep Learning: Formulating the problem and estimating project cost Finding, cleaning, labeling, and augmenting data Picking the right framework and compu
News, community, and courses for people building AI-powered products. Sign up for our latest course! Building an AI-powered product is much more than just training a model or writing a prompt. The Full Stack brings people together to learn and share best practices across the entire lifecycle of an AI-powered product: from defining the problem and picking a GPU or foundation model to production dep
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