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Openτensor Foundaτion
@opentensor
Incentivizing intelligence
加入 June 2021
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A Harvard research team and @chutes_ai just released a public dataset covering one year of real-world LLM inference on Chutes: 6.12B requests across 9,174 models. Technical usage data from a Bittensor subnet is now open to the wider AI research community.
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Announcing one year of LLM inference metadata traces, with 6.12 billion requests. We hope this dataset can support research on real-world LLM serving workload understanding, system design and infrastructure optimization. Explore the dataset and learn more: Driven by our great graduate student William Nixon and in collab with @jon_durbin @airesearch12 @chutes_ai
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