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RESEARCH
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Make with H2O: Kaggle Grandmasters Q&A and Competition Strategies
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Transformers Finally Added: Critical AI Architecture Recognition
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Thank you for adding Transformers! Many miss it which is wrong in 2022!
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Comparison of GPT-3 and GPT-4 Parameter Counts
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Currently, GPT-3 has 175 billion parameters, which is 10x faster than any of its closest competitors. GPT-4 is rumored be about 100 trillion parameters.
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Magic3D: High-Resolution Text-to-3D Content Generation
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Magic3D: High-Resolution Text-to-3D Content Creation Lin et al.: https://
arxiv.org/abs/2211.10440 #ArtificialIntelligence #DeepLearning #MachineLearning -
Tech Journalism Doesn’t Require Coding Skills
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I’d say this consumer/gadget tech journalist trope is from about 10 years ago. And also you really don’t need to code to be able to competently analyse the tech industry. Just like you don’t need to code if you’re a sociologist/political scientist/ethicist studying impact of tech
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Galton Board Demonstrates Statistical Concepts for Data Science
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From Apparent Chaos to Order
— Pascal Bornet (@pascal_bornet) 21 novembre 2022
This device is a Galton Board. 3,000 beads are dropped to demonstrate several #statistical & #math concepts:
– Central Limit Theorem
– Regression to the Mean
– Normal distribution
– Binomial distribution
– Pascal's Triangle
Crt: I. Korolev#data #ai pic.twitter.com/gD5XzSBvLeFrom Apparent Chaos to Order This device is a Galton Board. 3,000 beads are dropped to demonstrate several #statistical & #math concepts:
– Central Limit Theorem
– Regression to the Mean
– Normal distribution
– Binomial distribution
– Pascal's Triangle Crt: I. Korolev
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Transformers Possess Greater Compositional Power Than MLPs
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Those tasks are irrelevant to my point. You seem to be denying that transformers have more compositional power than MLPs.
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Transformers Outperform MLPs for Parsing Tasks
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Transformers are better than MLPs far from the limit. And these papers are about something else. All it takes for my statement to be correct is that a transformer can learn to parse correctly in some cases.
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Transformers Represent Grammar Better Than MLPs
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No, transformers can represent grammar better than (say) MLPs, which is an advance. And they can learn it to a very limited degree, so what I said is accurate.
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Artificial Intelligence Disrupts Healthcare Industry Deeper
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Ripe For Disruption: #ArtificialIntelligence Advances Deeper Into #Healthcare https://
forbes.com/sites/joemcken
drick/2022/11/19/ripe-for-disruption-artificial-intelligence-advances-deeper-into-healthcare/
… @joemckendrick #AI #MachineLearning #DataScience #BigData #Analytics #Startups #100DaysofCode #IoT #serverless #womenwhocode #DeepLearning #DigitalTransformation