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Ai2

Latest research

December 10, 2024

The Ai2 Climate Emulator

The Ai2 Climate Emulator: Fast, accurate AI-based atmospheric simulation for historical and future climates.
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November 26, 2024

OLMo 2: The best fully open language model to date

Our next generation of fully-open base and instruct models sit at the Pareto frontier of performance and training efficiency. Check out our [paper](https://arxiv.org/abs/2501.00656) to learn more, or keep reading for a summary.
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November 21, 2024

Tülu 3 opens language model post-training up to more tasks and more people

Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes.
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November 21, 2024

Tülu 3: The next era in open post-training

A technical deep-dive into Tülu 3, with the model "recipe", data, and more.
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November 19, 2024

Scientific literature synthesis with retrieval-augmented language models

Ai2’s & UW’s new retrieval-augmented LM helps scientists navigate and synthesize scientific literature.
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November 12, 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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October 28, 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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October 2, 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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September 25, 2024

Molmo

A family of open state-of-the-art multimodal AI models
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