I also think there was a will to experiments on too many aspects at the same time and in parallel in BS: try a new organisation, a multilingual model with low-ressources languages, a new way of building a dataset (crowd sourcing of sources), attempts to train in fp16, etc etc
MACHINE LEARNING
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K-Shot Learning for Non-RLHF Tuned LLMs
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I’ve never seen it work on anything other than RLHF-tuned GPT-3. I’ve wondered if you could k-shot a non-RLHF model with meta-examples of instruction templates followed by input/output pairs for each, but haven’t tried it.
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Enterprise AI Adoption Report 2022 Free Download
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AI Adoption in the Enterprise 2022 Download Free Report from @OReillyMedia
: https://
get.oreilly.com/ind_ai-adoptio
n-in-the-enterprise-2022.html
… #AI #DeepLearning #DataScience #BigData #Analytics #Robots #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #Python #Robotics #MachineLearning -
100+ Free Data Science and Machine Learning eBooks
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Free eBooks: 100+ Free Data Science Books http://
bit.ly/3AAD4At #NeuralNetworks #MachineLearning #TensorFlow #100DaysOfCode #BigData #Analytics #DevCommunity #Programming #IoT #javascript #Linux #Cloud #Serverless #womenwhocode #Python #RStats #DeepLearning #AI #DataScience -
Scaling Laws for Multi-Agent Reinforcement Learning
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Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann, Claudius Gros : https://
arxiv.org/abs/2210.00849 #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
Rise of Autonomous Industrial Vehicles in Manufacturing
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The Rise of Autonomous Industrial Vehicles https://
get.cyngn.com/2022-autonomou
s-industrial-vehicles-industry-report
… @ASMEdotorg @3DSNorthAmerica @Dassault3DS @cyngn @MargaretSiegien @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Engineering #Robots #Automation #AI #Manufacturing -
ML Privacy Risks Beyond Verbatim Memorization Research
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Nice paper (ft @daphneipp @florian_tramer @katherine1ee +more) that argues looking at verbatim memorization is inadequate when considering ML privacy risks It also has the most interesting author ordering I've ever seen. So much for alphabetical or random https://
arxiv.org/abs/2210.17546 -
Future perspectives on polynomial models in physics
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Some day humans will find it so quaint that polynomials were our best models of Physics
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Cohere Python SDK: Add NLP Features to Your App
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Add powerful NLP functionality into your app, like sentiment analysis and text summarization, with Cohere's Python SDK. In this tutorial, we show you how – https://
hubs.li/Q01ryKFW0 -
AI Builders Need Artificial Intelligence Most
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The people building #artificialintelligence are the ones who need AI the most https://
zdnet.com/article/the-pe
ople-building-artificial-intelligence-are-the-ones-who-need-ai-the-most/
… @zdnet #AI #MachineLearning #DataScience #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #Python #DigitalTransformation #TensorFlow #DeepLearning