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Jesse Dodge on Muck Rack

Jesse Dodge

Seattle
As seen in: Communications of the ACM, Fast Company, Control Engineering Magazine, Fast Company Middle East, NLP Highlights
Muse Glimmer, formerly OLMo. Trying to add some sanity to the chaotic world of evals, especially across stages of training an llm. 🏳️‍🌈
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Articles

AI can help address climate change-as long as it doesn’t contribute to Original

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By Jesse Dodge
| Fast Company Verified
There’s been a shift in AI. No longer a field reserved just for researchers and data scientists, AI has gone mainstream. Today, practically everyone has read a poem written by AI, or seen what they look like rendered as a cartoon character. These are impressive advancements that indicate the rapid progress being made in AI. But we’re not asking a crucial question: What does the growing popularity of large-scale AI models mean for the planet?
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Measuring and Mitigating AI Carbon Intensity

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By Will Buchanan, Jesse Dodge
| NLP Highlights
by Will Buchanan and Jesse Dodge The science is clear: the World Meteorological Organization reported that global temperature has a 50% probability of exceeding 1.5°C of warming within the next five years. Scientists have set this as the ceiling for avoiding catastrophic climate change; when we reach this as a long-term threshold, we can expect unprecedented disruptions to human quality of life and our supporting ecosystems. We must do everything possible to reduce our carbon footprint.
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Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

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By Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew
| aclanthology.org
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner Abstract Large language models have led to remarkable progress on many NLP tasks, and researchers are turning to ever-larger text corpora to train them.
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