ELMo, or the Embeddings from Language Models, is an open source model created by a team of AI researchers at the University of Washington and the Allen Institute for Artificial Intelligence. ELMo supports Natural Language Processing (NLP) systems by converting words into numbers, which are then used to train machine learning models. The original ELMo model was trained on the 1 Billion Word Benchmark, which is a publicly available training dataset of nearly 1 billion words for statistical language models developed by researchers at Google, the University of Edinburgh and Cantab Research Lab.
Observatory of Examples of How Open Data and Generative AI Intersect
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.