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

Backtesting the predictability of COVID-19

1 code implementation • 22 Jul 2020 • Dmitry Gordeev, Philipp Singer, Marios Michailidis, Mathias Müller, SriSatish Ambati

Our work studies the predictive performance of models at various stages of the pandemic to better understand their fundamental uncertainty and the impact of data availability on such forecasts.