On-Demand Correlation Matrix Datasets for Hidden Relationship Detection in Data & Training in Artificial Intelligence (AI) Systems

San Francisco, CA
Joined March 2022
There's still time! Just over 48 hours to go in the Finance API Dev Hackathon Challenge hosted on @taikainetwork Be sure to submit your project by 11:59pm PST to qualify - taikai.network/en/vectorspac… The team looks forward to reviewing submissions! #hackathon
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"In December 2021, DeepMind introduced a language model called Gopher that uses 280 billion parameters. Then, Google introduced an AI language model that same month that was built on 1.6 trillion parameters, dwarfing the size of the model used by GPT-3. "
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"The bigger models are proving that, in general, bigger is better, in terms of the range and capabilities of the model. But costly hardware, long training times, and enormous volumes of data are also required to achieve these kind of results."
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2 weeks to go in the Finance API Dev Hackathon $17.5K Challenge! taikai.network/en/vectorspac… Easy to enter process for projects + a way for ideas to connect with builders/coders w/ Matchmaking feature. Free product trial available at vectorspacebio.science/finan… #hackathon #developers
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Finance API Dev Hackathon Challenge Announcement 🚨 Registrant submissions now accepted through October 15th Matchmaking makes it's even easier for you to participate in the Hackathon Challenge by connecting your ideas with builders in 2 easy steps Here's how...🧵(1/2)
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