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A computer generated image showing a swirl of shapes, meant to depict a hopeful futuristic feeling.
A computer generated image showing a swirl of shapes, meant to depict a hopeful futuristic feeling.

Ai2 blog

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August 2024 - Say hello to Ai2’s new logo

Introducing Ai2’s new brand and website!

An abstract illustration of swirling shapes, meant to denote a futuristic feeling.

Akari Asai / November 2024 - Ai2 OpenScholar: Scientific literature synthesis with retrieval-augmented language models

Ai2’s & UW’s OpenScholar, a retrieval-augmented LM, helps scientists navigate and synthesize scientific literature.

Abstract swirls in shades of blue, creating an artistic pattern reminiscent of the style of Van Gogh's Starry Night.

Sahil Verma, Yanai Elazar / November 2024 - How many Van Goghs does it take to Van Gogh? Finding the imitation threshold

Meet MIMETIC^2: Finding the number of images required by text-to-image models for imitation of a concept.

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Lj Miranda / October 2024 - Hybrid preferences: Learning to route instances for human vs. AI feedback

We introduce a routing framework that combines inputs from humans and LMs to achieve better annotation quality.

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Yuling Gu / October 2024 - Applying theory of mind: Can AI understand and predict human behavior?

"Theory of Mind" is the ability to understand that others have their own thoughts and beliefs.

Jordan Steward / October 2024 - Ai2 at COP 16: Harnessing AI and conservation tech to protect our planet

We're heading to UN Biodiversity COP to showcase how open, collaborative AI can galvanize communities.

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Will Merrill / October 2024 - Investigating pretraining dynamics and stability with OLMo checkpoints

We use data from our open pretraining runs to test hypotheses about training dynamics in OLMo checkpoints.

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Niklas Muennighoff / September 2024 - OLMoE: An open, small, and state-of-the-art mixture-of-experts model

Introducing OLMoE, the first model to be on the Pareto frontier of performance and size, released with open data.

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Yuling Gu / August 2024 - Digital Socrates: Evaluating LLMs through explanation critiques

Digital Socrates is an evaluation tool that can characterize LLMs' explanation capabilities.

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August 2024 - Open research is the key to unlocking safer AI

Ai2 presents our stance on openness and safety in AI.

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Faeze Brahman and Sachin Kumar / July 2024 - Broadening the scope of noncompliance: When and how AI models should not comply with user requests

We outline the taxonomy of model noncompliance and then delve deeper into implementing model noncompliance.

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Nouha Dziri / June 2024 - The Ai2 Safety Toolkit: Datasets and models for safe and responsible LLMs development

Introducing the Ai2 Safety Toolkit, featuring an automatic red-teaming framework and a lightweight moderation tool.

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