After adding dropout, I increased the 5 epoch best to 93.2%, and christopherthomas on http://
forums.fast.ai improved the 50 epoch best to 95.2% – first time we've gotten a result >95%! 😀
RESEARCH
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Dropout Improves Model Performance to 95.2% Accuracy
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GPT-3 Outperforms Humans on IQ Test Benchmarks
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GPT-3 beats humans on IQ tests
#RuleoftheRobots #AI https://
studyfinds.org/are-you-smarte
r-than-ai/
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NeurIPS 2023 Program Chair Nomination Open Call
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You can nominate yourself as Program Chair for #NeurIPS2023. Who is up for the challenge? https://
x.com/NeurIPSConf/st
/NeurIPSConf/status/1607783374843781121
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Transformers and LSTMs: Scaling architectures and the need for innovation
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I agree with the core thing I think you’re saying: there’s lots of architectures that could allow models to scale with respect to both data and computation. Transformers are one, maybe not even a good one. But LSTMs as we have then don’t scale — so we were missing an invention
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Suspected ChatGPT Tuning Affecting Prompt Echo Attacks Post-Update
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Yes. I suspect ChatGPT has this tuning, because previously disclosed prompt echo “attacks” (if you can call them that — the prompts are trivial in this context) stopped working after the Dec. 15 update.
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Free Machine Learning Courses from Top Universities
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100% FREE machine learning courses from top Colleges: – MIT 6.S191 Introduction to Deep Learning
– DS-GA 1008 Deep Learning
– UC Berkeley Full Stack Deep Learning
– UC Berkeley CS 182 Deep Learning
– Cornell Tech CS 5787 Applied Machine Learning -
Content Summarization and Sentiment Analysis in NLP
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In this @Cognilytica #AIToday #podcast episode 'Content Summarization and Analysis, Sentiment Analysis' from the AI Glossary Series, hosts @rschmelzer & @kath0134 define Content Summarization and #Analysis and #sentimentanalysis. Full episode: https://
cognilytica.com/2022/12/28/ai-
today-podcast-ai-glossary-series-content-summarization-and-analysis-sentiment-analysis/?utm_source=dlvr.it&utm_medium=twitter
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#ML #AI #nlp -
Word embeddings and latent factors in language models
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I'd argue that the janky "queen = king – man + woman" thing is definitely related. It's not doing language generation, but you're trying to query the latent factors the model has used to minimise the surface objective
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5G Innovation Transforms Digital Infrastructure and SDG Impact
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How #5G #innovation transforms #SDGs impact & #DigitalTransformation of #infrastructure See #UK #5GTrailblazers inc Prof @Dsimeo https://
bit.ly/3SWW9mq @ericsson #DataScience #womenintech @ipfconline1 #AI @DeepLearn007 #Bristol #EricssonAmbassador #CES2023 @dinisguarda -
Neural Radiance Fields (NeRF) for Unconstrained Photo Collections
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Paper: Neural Radiance Fields (NeRF) for Unconstrained Photo Collections https://
nerf-w.github.io