Building at OpenAI is an exercise in maximally harnessing each available computing resource, scientifically predicting and understanding the resulting systems, searching for new ideas or old ones that are now ready to work, and scaling beyond precedent.
RESEARCH
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Stanford AI+Education Summit Convenes Leaders February 1
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The next AI+Education Summit will convene @Stanford faculty and students along with leaders from academia, industry, civic society, PK-12 education, and government to discuss advancing human learning with AI technologies. Register to attend on February 1: https://
stanford.io/49bqc1L -
AlphaGeometry: DeepMind’s Advanced Mathematical Reasoning AI
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Also check out this fun video from @twominutepapers on #AlphaGeometry
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Google’s AI Leadership and Democratization Collaboration Initiative
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For me, Google is the #1 AI company in the world and kickstarted the whole revolution with "Attention is all you need", BERT, T5 and many more. I'm ecstatic to be able to collaborate with @sundarpichai @ThomasOrTK @JeffDean @fchollet and the whole Google org to democratize AI
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Follow for Data Science ML AI Analytics and LLMs Content
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End of this thread! If you are looking to learn more about
Data Science
ML/DL/AI
Analytics
Math & Statistics
Resources
LLMs
MLOps Then, Don't forget to follow me at @avikumart_ for upcoming posts -
AI Reaches Peak Inflated Expectations in Industrial Sector
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“AI was a major buzz topic in 2023, trending up to a point where I believe it has hit the Peak of Inflated Expectations” – Ira Sharp, Co-founder @Industry40Club
. https://
ow.ly/A5fQ50QpaeN #IIoT #AI #TechTrends #industrialiot #industry40 #industrialtransformation #TechTrends2024 -
Neuromorphic Computing Reduces AI Energy Consumption and Carbon Footprint
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Neuromorphic computing may advance AI to new levels whilst crucially keeping down the computational costs. This results in a much lower energy consumption and hence carbon footprint for AI.
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System 1 Modeling in AI: Natural Language Representation Effectiveness
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Accurate. The catch though is System 1 when modeled on traces of human thought in a highly abstract and useful representation such as natural language, ends up being highly effective, but not the full answer yet.
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AI Hype Reality: Balance Skepticism with Action
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AI – believe the hype, don't believe the hype. Let's get to work anyway
