H2O GenAI Day — What is Enterprise H2OGPT?

Supercharge your business use cases with Enterprise H2OGPT!

Happy Thursday! It was a wonderful experience attending the session with H2O.ai during their Gen AI training. I had an opportunity to meet the CEO & Founder of H2O as well as Kaggle Grandmasters who serve as my idols in the field of data science and machine learning. The training was dedicated to exploring H2O.ai’s offerings and delving into the limitless power of #GenAI and #LLMs.

For those unfamiliar, H2O.ai is a fully open-source, distributed in-memory machine learning platform with linear scalability. It supports a wide array of statistical and machine learning algorithms, including gradient boosted machines, generalized linear models, deep learning, and more. Notably, H2O features an industry-leading AutoML functionality that automatically runs through various algorithms and hyperparameters, producing a leaderboard of the best models.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. (Source: https://github.com/h2oai/h2o-3)

H2O is highly regarded in both the R and Python communities. It seamlessly integrates with existing big data infrastructure, operating on bare metal or on top of existing Hadoop, Spark, or Kubernetes clusters. Moreover…