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OpenAI GPT-3 - Good At Almost Everything! 🤖 Analytics Table
Income Estimates for OpenAI GPT-3 - Good At Almost Everything! 🤖
Based on this YouTube video's total view count of 579K views and industry-standard rates, the estimated total earning is $406 - $1.16K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.
About OpenAI GPT-3 - Good At Almost Everything! 🤖
Explore OpenAI GPT-3 - Good At Almost Everything! 🤖 with 579,730 views, 21,369 likes, and 1,548 comments. Experience the impact of this video content that has captured audience attention.
❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers ❤️ Their instrumentation of a previous OpenAI paper is available here: https://app.wandb.ai/authors/openai-jukebox/reports/Experiments-with-OpenAI-Jukebox--VmlldzoxMzQwODg 📝 The paper "Language Models are Few-Shot Learners" is available here: - https://arxiv.org/abs/2005.14165 - https://openai.com/blog/openai-api/ Credits follow for the tweets of the applications. Follow their authors if you wish to see more! Website layout: https://twitter.com/sharifshameem/status/1283322990625607681 Plots: https://twitter.com/aquariusacquah/status/1285415144017797126?s=12 Typesetting math: https://twitter.com/sh_reya/status/1284746918959239168 Population data: https://twitter.com/pavtalk/status/1285410751092416513 Legalese: https://twitter.com/f_j_j_/status/1283848393832333313 Nutrition labels: https://twitter.com/lawderpaul/status/1284972517749338112 User interface design: https://twitter.com/jsngr/status/1284511080715362304 More cool applications: Generating machine learning models - https://twitter.com/mattshumer_/status/1287125015528341506?s=12 Creating animations - https://twitter.com/ak92501/status/1284553300940066818 Command line magic - https://twitter.com/super3/status/1284567835386294273?s=12 Analogies: https://twitter.com/melmitchell1/status/1291170016130412544?s=12 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Daniel Hasegan, Eric Haddad, Eric Martel, Gordon Child, Javier Bustamante, Lorin Atzberger, Lukas Biewald, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://www.patreon.com/TwoMinutePapers Meet and discuss your ideas with other Fellow Scholars on the Two Minute Papers Discord: https://discordapp.com/invite/hbcTJu2 Károly Zsolnai-Fehér's links: Instagram: https://www.instagram.com/twominutepapers/ Twitter: https://twitter.com/twominutepapers Web: https://cg.tuwien.ac.at/~zsolnai/ #GPT3 #GPT2
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