GPT-4 is Almost Here, And it Looks Better than Anything Else https://
analyticsindiamag.com/gpt-4-is-almos
t-here-and-it-looks-better-than-anything-else/
… @pierrepinna @sallyeaves @PawlowskiMario @Xbond49 @gvalan @psb_dc @SpirosMargaris @JimMarous @HaroldSinnott @mikeflache @Shi4Tech @Nicochan33 #AI #MachineLearning #DeepLearning #Fintech #5G
MACHINE LEARNING
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GPT-4 Launch: Next Generation AI Model Surpasses Competition
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Enterprise Data Science Future: Hybrid Multi-Cloud MLOps
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Attending @awscloud
#reInvent? Learn why the future of enterprise #datascience is hybrid/multi-cloud, and stop by booth #2938 to speak to #mlops experts. And don't miss sessions from our partners @nvidia
, @netapp
, @VMware
, @SnowflakeDB
, & more. https://
domino.buzz/3hOw8Ip -
Introduction to Machine Learning Problem Framing for Beginners
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Introduction to Machine Learning Problem Framing. https://
developers.google.com/machine-learni
ng/problem-framing/
… A 1-hour course designed for absolute beginners. Especially useful to help you identify opportunities to apply Machine Learning. If you are ready to start, this will be a great introduction. -
Make with H2O: Ask a Kaggle Grandmaster Your Data Science Questions
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Join us this Wednesday on November 30 for Make with http://
H2O.ai! In this session you will have the opportunity to ask a #Kaggle Grandmaster your data science questions, hear winning Kaggle competition strategies, and more. Register: https://
h2o.ai/events/make-wi
th-h2o/?utm_campaign=Make-With-H2O&utm_source=twitter&utm_medium=Organic-Social
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Google Showcases AI Research at NeurIPS Conference
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Attending @NeurIPSConf this year? Stop by the Google booth where you can chat with researchers, attend a demo or Q&A session, and learn about some of the many research projects our researchers are presenting throughout the conference. http://
goo.gle/3gNAsHL -
Open Source Diffusion Models Course Launches First Unit
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The Diffusion Models Course is an open source technical course on diffusion models! The first first unit was released today
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NeurIPS Authors Overestimate Acceptance Chances Dramatically
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Figure 1b) shows >= 90% of #NeurIPS2022 submissions thought they had a >= 25% chance of getting accepted. But only ~25% were accepted. Does this mean:
a) Authors overrate their work or b) Reviewers underrate most papers? Source: https://
blog.ml.cmu.edu/2022/11/22/neu
rips2021-author-perception-experiment/
… https://
cs.cmu.edu/~nihars/prepri
nts/NeurIPS_2021_Author_Perception_Experiment.pdf
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280+ Machine Learning Projects Solved and Explained with Python
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280+ #MachineLearning Projects Solved & Explained using #Python https://
medium.com/coders-camp/23
0-machine-learning-projects-with-python-5d0c7abf8265
… #IoT #100DaysOfCode #programming #CodeNewbie #bugbounty #DataScience #gamedev #BigData #Analytics #Cloud #OpenSource #AI #5G #API #DEVCommunity #CES2023 #MWC2023 #FutureOfWork #amankk_9pi -
Deep Learning Bayesian Methods Reveal Third Archaic Human Introgression
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“Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania” – fascinating application.
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Pre-trained Language Models Essential for Agent Communication
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If AZ cannot rely on a pre-trained LM to communicate, it is impossible (there is no reason the model learns with self play to communicate with valid sentences). Other issue will of course be the infinite action space (which we also had in theorem proving) but this is manageable