Customize and deploy open source AI models, create your own digital assistants and business GPTs.
Assess the performance, reliability, safety, and effectiveness of RAG and LLM-based applications.
By H2O.ai Team | minute read | August 12, 2013
In this session our resident R & Math hacker, Anqi Fu will demonstrate the R API for H2O. Early users, community and customers of H2O have been invoking GLM, Random Forest and K-means from an RConsole or RStudio.
In this meetup we’ll look at the API and take a small and big dataset in HDFS and clean it using R, build models, predict and plot entirely from R. Users will experience speed of algorithms in H2O, without having to learn a New API.
At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.
Today we have evolved into a global company built by people from a variety of different backgrounds and skill sets, all driven to be part of something greater than ourselves. Our partnerships now extend beyond the open-source community to include business customers, academia, and non-profit organizations.
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