The easiest way to see this is to fix the mean to be 0 and then observe that the returned value will never be negative. Thus it can't be Gaussian. Definitely not easy to spot.
MACHINE LEARNING
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Neural Operators and AI for Science Talk at MIT IAIFI
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It was great visiting @mit @iaifi_news and give a talk about neural operators and AI for science. You can find my talk here https://
youtu.be/RR5-mYQOb7E?t=
1208
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LLMs Self-Improve: New State-of-the-Art Reasoning Capabilities
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We recently read ‘Large Language Models Can Self-Improve,’ which demonstrates how to improve the general reasoning ability of multi-billion parameter models and achieve state-of-the-art performance. Have you read it? Check it out and let us know your thoughts! #ML #AI #LLM
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Essential Machine Learning Concepts: 130-Page Cheat Sheet
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READ: 130-page cheat sheet outlining key #MachineLearning concepts: https://
bit.ly/130pgMLsheet
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#ML #BigData #AI #DeepLearning #Algorithms -
Scalable AI Ecosystem Across Hybrid Cloud Enterprise
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Doing AI in a hybrid cloud environment? Need to use GPUs to accelerate ML? Check out Kjell Carlsson's talk TODAY, Nov. 2 from 3:05 – 3:30 CT, “Enabling a Scalable, Future-proof AI Ecosystem Across the Hybrid Cloud Enterprise." #MLOps #IoTWorld
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Scikit-learn Algorithm Selection Cheat Sheet Guide
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Scikit-learn is one of the most useful and important Python libraries for machine learning. A great cheat sheet that will help you decide which algorithm to use:
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Broken Neural Scaling Laws: New Research Findings
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Broken Neural Scaling Laws Caballero et al.: https://
arxiv.org/abs/2210.14891 #MachineLearning #DeepLearning #ArtificialIntelligence -
The Future of AI Turned Out Differently Than Expected
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The future turned out differently than expected. // #AI #deeplearning #turingtest #machinelearning
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VP Research Announces Natural Language Understanding Progress
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We’re committed to pushing the state-of-the-art in language-based AI. @ZoubinGhahrama1
, VP of Research, will update us on our latest progress in natural language understanding and announce a new initiative ↓ (1/3) -
Imagen Video and Phenaki: Text-to-Video Generation Advances
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Meet Imagen Video and Phenaki, two research approaches for text-to-video generation.
— Google AI (@GoogleAI) 2 novembre 2022
By combining diffusion & sequence learning techniques, we can generate videos that are super-res at the frame level and coherent in time. (4/5)https://t.co/O7gGzb9knWhttps://t.co/Uc0krTyTvk pic.twitter.com/Op4tonX2iwMeet Imagen and Phenaki, two research approaches for text-to-video generation. By combining diffusion & sequence learning techniques, we can generate videos that are super-res at the frame level and coherent in time. (4/5) https://
imagen.research.google/video/ https://
phenaki.video