H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.
By using a local language model and vector database, you can maintain control over your data and ensure privacy while still having access to powerful language processing capabilities. One solution is h2oGPT, a project hosted on GitHub that brings together all the components mentioned above in an easy-to-install package. It includes a large language model, an embedding model, a database for document embeddings, a command-line interface, and a graphical user interface.
Sparkling Water is a tool that allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark, users can drive computation from Scala/R/Python and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers.
H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.
H O.ai delivers open-source and enterprise-grade AI platforms, helping organizations harness the power of machine learning for data analysis, predictions, and decision-making.