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Georgia Tech uses Bluesky Jetstream to link Olmo model performance to training data

By PulseAugur Editorial · [1 sources] ·

A team from Georgia Tech utilized the Bluesky Jetstream platform to investigate how specific training data influences AI model capabilities. By analyzing the open model flow of "Olmo," researchers traced its performance on social reasoning and STEM knowledge tests back to the types of text it was trained on. This interactive web application requires JavaScript and was developed by the Allen Institute for Artificial Intelligence. AI

IMPACT Provides insight into how specific training data influences AI model performance on reasoning and knowledge tasks.

RANK_REASON Research paper detailing methodology and findings on AI model training data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Bluesky Jetstream — AI desk →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Georgia Tech uses Bluesky Jetstream to link Olmo model performance to training data

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Research paper detailing methodology and findings on AI model training data. [lever_c_demoted from research: ic=1 ai=1.0]
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30 days old
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COVERAGE [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · ai2.bsky.social ·

    What kinds of training data shape different model capabilities?

    What kinds of training data shape different model capabilities? A Georgia Tech team used our fully open model flow to trace Olmo’s performance on social/general reasoning and social-science/STEM knowledge tests back to the types of text it trained on. 🧵 buff.ly/cQEzbUn

    LINKS allenai.org/…/olmo-capability-tracing

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