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Hugging Face is sharing $10 million worth of compute to help beat the big AI companies


Hugging Face is hoping to lower the barrier to entry for developing AI apps.

Most significant advancements in artificial intelligence — like GPT-4, the algorithms behind Google Search, and Tesla’s Full Self-Driving system — remain hidden within the confines of major tech companies. Not only are these corporations financially incentivized to keep their models proprietary, but with billions of dollars at their disposal for computational resources, they can compound those gains and race ahead of competitors, making it impossible for startups to keep up. Andrew Reed, a machine learning engineer at Hugging Face, even spun up an app that visualizes the progress of proprietary and open-source LLMs over time as scored by the LMSYS Chatbot Arena, which shows the gap between the two inching closer together.

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