H2O Open Ecosystem for State-of-the-art Large Language Models

2 code implementations • 17 Oct 2023 • Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Chun Ming Lee, Marcos V. Conde

The goal of this project is to boost open alternatives to closed-source approaches.

h2oGPT: Democratizing Large Language Models

2 code implementations • 13 Jun 2023 • Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Prithvi Prabhu, Jeff Gambera, Mark Landry, Shivam Bansal, Ryan Chesler, Chun Ming Lee, Marcos V. Conde, Pasha Stetsenko, Olivier Grellier, SriSatish Ambati

Applications built on top of Large Language Models (LLMs) such as GPT-4 represent a revolution in AI due to their human-level capabilities in natural language processing.

Chatbot Fairness +8

Build a Deep Neural Network model using CPUs Builds a feed-forward multilayer artificial neural network on an H2OFrame

1 code implementation • H2O.ai, Inc. 2015 • Anisha Arora, Arno Candel, Jessica Lanford, Erin LeDell, Viraj Parmar

With hundreds of meetups over the past three years, H2O has become a word-of-mouth phenomenon, growing amongst the data community by a hundred-fold, and is now used by 30, 000+ users and is deployed using R, Python, Hadoop, and Spark in 2000+ corporations.

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