The General Theory of General Intelligence: A Pragmatic Patternist Perspective Ben Goertzel : https://
arxiv.org/abs/2103.15100 #AGI #ArtificialGeneralIntelligence #AGIDebate
INNOVATION
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General Intelligence Theory: Pragmatic Patternist Perspective
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Start Building with Replicate: Practical AI Creation Guide
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Yes, http://
replicate.com and just start making things and you'll figure it out -
AI-Powered Blog Title Generator: Creating Better Headlines
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The title of your blog post is the first thing people see. 👀
— Cohere (@cohere) 21 décembre 2022
That's why it's so important to get it right. This prompt suggests alternatives for a given blog title.
Try it on our Playground here: https://t.co/XPEcsX0GC5 pic.twitter.com/dqTj5FvltgThe title of your blog post is the first thing people see. That's why it's so important to get it right. This prompt suggests alternatives for a given blog title. Try it on our Playground here: https://
short.cohere.ai/SvYBbI -
MONTREAL.AI Launches Premier Global AI Web3 Community
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http://
MONTREAL.AI is constructing the premier global AI Web3 community. Join us on Discord to discuss projects and start implementing at http://
discord.gg/montrealai #AGI #AGIDebate #MontrealAI -
7-Eleven Uses Computer Vision for Automated Checkout Technology
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7-11 has a computer vision group for their automatic checkout stores
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CEO Predicts Hybrid AI, Model-Driven Business, GPU Demand Rise
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Next year we’ll see the rise of hybrid capabilities, model-driven businesses and the demand for GPUs. Our CEO Nick Elprin is sharing his predictions for 2023 with @BigData_Review
: https://
domino.buzz/3FJkAi7 #datascience -
Modernizing Employee Reskilling for Data-Driven Innovation
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#DataAnalytics are critical for all companies, yet many fail to invest in their people. On @smbtech_au
, @alteryxlibby explains the need to modernize employee reskilling to ensure a #DataDriven and innovative future. Read: https://
bit.ly/3uYjdqU #AnalyticsForAll #AlteryxSparkED -
Scalable Chip Architecture for Trillion Parameter ML Training
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“Their design … has made it so that 1 core looks like 1 chip looks like a whole network. ML training with trillion parameter models requires a lot of compute, you need an architecture that operates the same with 1 chip or 1000 chips.” Thanks @IanCutress