
Wonder how well it fares for longer instructions — I played around a while ago with using instruction induction to infer “instruction templates” from examples and it seemed to work:

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Wonder how well it fares for longer instructions — I played around a while ago with using instruction induction to infer “instruction templates” from examples and it seemed to work:
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Cool extension of Honovich et al.’s “instruction induction”, experimentally optimizing to find the best instruction prompt for a given set of task examples: https://t.co/h4Rd2A9JwY
— Riley Goodside (@goodside) 4 novembre 2022
Cool extension of Honovich et al.’s “instruction induction”, experimentally optimizing to find the best instruction prompt for a given set of task examples:
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#dataviz / #DataScience / #MachineLearning tweeps, do you plan to continue using Twitter as a tech network? If not, where are you moving?

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Free course on Machine Learning taught by Tom Mitchel and Maria-Florina Balcan. • You get all the notes
• You get all the videos
• Tom and Maria are amazing Course: http://
cs.cmu.edu/~ninamf/course
s/601sp15/lectures.shtml
… Carnegie Mellon University. For free!
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Posits, a revolution in mathematics? https://actuia.com/actualite/les-posits-une-revolution-des-mathematiques/
… #AI #artificialintelligence #mathematics #research
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SuccessfulAI offers a free innovation monitoring service for businesses. As well as a catalog of solutions and services based on #AI, #DeepLearning, #MachineLearning, #IoT

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Large Language Models Are Human-Level Prompt Engineers Zhou et al.: https://
arxiv.org/abs/2211.01910 #MachineLearning #DeepLearning #ArtificialIntelligence

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Reduce #Complexity & #Apps #Tools #Cloud #Data Proliferation! Join @KoutsoukosNik & I – 2PM GMT Today! Everything #Observability & #AI #ML #AIOps https://
linkedin.com/video/event/ur
n:li:ugcPost:6992857196573151232/
… #AI #CyberSecurity #100DaysOfCode #innovation @solarwinds @mikeflache @Chels_LA @Paula_Piccard @Shi4Tech
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We also showed inverse scaling up to 62B on our model / prompt setup
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Baidu’s Parallel Evoformer and Branch Parallelism Strategy Accelerates AlphaFold2 Training by 38.67% https://
syncedreview.com/2022/11/03/bai
dus-parallel-evoformer-and-branch-parallelism-strategy-accelerates-alphafold2-training-by-38-67/
…