Announcing AI2 OLMo, an open language model made by scientists, for scientists
Today, the Allen Institute for AI is excited to announce that we are embarking on the creation of an open, state-of-the-art generative language model: AI2 OLMo (Open Language Model).
We believe that millions of people want to better understand and engage with language models, and we aim to create the environment where they actually can, leading to faster and safer progress for everyone. Our goal is to collaboratively build the best open language model in the world.
Large language models and chatbots are everywhere, but are they safe? In a large-scale toxicity analysis of ChatGPT, AI2 Aristo team members find that assigning the bot a “persona” significantly increases its tendency to produce toxic output (up to 6X!). This study highlights the importance of AI literacy and model transparency as more people encounter chatbots day-to-day.
Artificial intelligence has come a long way, but popular understanding of AI often overestimates just how capable models are. AI2 Senior Director Yejin Choi joined the TED2023 conference to highlight where AI is, and where she believes it should go.
Making Citations Come Alive with CiteSee
Inline citations help scholars explore and discover prior literature, but it can be challenging to make sense of them and prioritize them during reading. That’s why researchers from Semantic Scholar created CiteSee, a tool to better interface with citations as you encounter them by providing useful, personalized context. The CiteSee paper received a Best Paper Award at CHI 2023!
What’s really in the huge datasets used to train the most popular chatbots? The Washington Post teamed up with AI2 team members Jesse Dodge, Yanai Elazar, Dirk Groeneveld, and Nicole DeCario to analyze the contents of Google’s C4 dataset.
The research visualization team at AI2 creates beautiful, informative, interactive applications and demos that help people to understand, share, and build upon our institute’s research. Check out the new website for this important cross-functional team.
