OMNI: Open-endedness via Models of human Notions of Interestingness Zhang et al.: https://
arxiv.org/abs/2306.01711 #ArtificialIntelligence #DeepLearning #MachineLearning
RESEARCH
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OMNI: Open-endedness Models Human Interestingness Notions
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OpenAI’s Technological Lead: Comparative Analysis
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Comparison how far @OpenAI is ahead https://t.co/P8nAtMnryf
— Chubby♨️ (@kimmonismus) 18 février 2024Comparison how far @OpenAI is ahead
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Will we get lost in our computers? A 1980 perspective
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Will we get lost in our computers? (1980)
— Amitav Bhattacharjee (@bamitav) 18 février 2024
pic.twitter.com/g2MLquXlfb
@SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom @Fabriziobustama @sallyeaves @helene_wpli @ahier @rwang0…Will we get lost in our computers? (1980) @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom @Fabriziobustama @sallyeaves @helene_wpli @ahier @rwang0
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Python Data Science Machine Learning MLOps Tutorials Daily
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That's a wrap! If you interested in: – Python – Data Science – Machine Learning – Maths for ML – MLOps – CV/NLP – LLMs Find me → @akshay_pachaar Everyday, I share tutorials on above topics! Check my tutorial on Self-Attention
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Stanford CS25 Transformers United Course Overview
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Stanford CS25 – Transformers United Since their introduction in 2017, transformers have revolutionised the world of NLP! This course delves into the inner workings of transformers, exploring their applications with a focus on LLMs. Check this out
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ML on Graphs: Learn Network Structure Analysis
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ML on Graphs This course covers important research on the structure & analysis of large social & information networks. I have personally learnt a lot from this course & it helped me solve problems where traditional methods failed. Check this out https://
youtube.com/playlist?list=
PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn
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Reinforcement learning This class will provide a solid introduction to the field of reinforcement learning. You'll learn through a combination of lectures, & written and coding assignments. Check this out https://
youtube.com/playlist?list=
PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u
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NLP A thorough introduction to cutting-edge neural networks for NLP. A hands-on course with plenty of assignments & a final project. PyTorch for all the code! Check this out https://
youtube.com/playlist?list=
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Stanford Computer Vision Course: Deep Learning Fundamentals by Karpathy
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Computer vision A great course covering fundamentals of Deep Learning, focusing on Computer vision applications! Its was started by Andrej Karpathy at Stanford! Check this out https://
youtube.com/playlist?list=
PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk
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Statistical Learning Course: Master Data Science and Modeling Tools
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Statistical learning Learn some of the main tools used in statistical modeling and data science. Covers both traditional as well as exciting new methods. Check this out https://
edx.org/course/statist
ical-learning?webview=false&campaign=Statistical+Learning&source=edx&product_category=course&placement_url=httpswww.edx.orgschoolstanfordonline
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