Nice to see diffusion models in function spaces that build on neural operators
RESEARCH
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LLMs Fact-Checking Themselves Through Prompt Chaining
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@0xjasper came up with a very cool example of LLMs fact checking themselves with prompt chaining. See the original tweet thread below
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ChatGPT generates plausible but incorrect answers without online feedback
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I spoke to @latimes on #ChatGPT on how it can confidently give wrong but plausible answers to puzzles, and it is not getting online feedback on if the text it is generating is true.
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AI Debate 2: Building Ethical, Robust, and Trustworthy AI
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AI DEBATE 2 "It takes a village to raise an AI that’s ethical, robust, and trustworthy" – Gary Marcus Official Video: https://
youtu.be/VOI3Bb3p4GM http://
MONTREAL.AI Debates Series #AGI #AGIDebate #MontrealAI -
Multilingual Dataset Construction: A Comprehensive Survey
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Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources Yu et al.: https://
arxiv.org/abs/2211.15649 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI Glossary Series Podcast Explores AI Winters and Market Cycles
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In this @Cognilytica #AIToday AI Glossary Series #podcast episode 'AI Winters' hosts @rschmelzer & @kath0134 define #AI winters and discuss the waves of obscurity, hyped promotion, plateauing of interest, and decline associated. Full episode: https://
cognilytica.com/2022/12/09/ai-
today-podcast-ai-glossary-series-ai-winters/?utm_source=dlvr.it&utm_medium=twitter
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#ML #tech -
Noam Chomsky Participates in AGI Debate Montreal
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We are extremely privileged to have Noam Chomsky with us at the AGI Debate. #AGI #AGIDebate #MontrealAI
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AGI Debate Online Event Co-organized by Gary Marcus
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The AGI Debate is an online event exclusively. It is co-organized by Gary Marcus and http://
MONTREAL.AI. #AGI #AGIDebate #MontrealAI -
GardenMate Wins Call for Code with AI-Driven Food Marketplace
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Ecosystem for Good! Congrats 'GardenMate' Winners #CallForCode tackling #Food #Sustainability with #AI driven #marketplace + people & #tech support! See http://
bit.ly/FoodSDGS #SDGs #agritech #innovation #IBMPartner #data #ML #DataScientist #Python @IBMPartners #OpenSource -
T-STAR: Style Transfer with AMR Graphs for Content Preservation
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T-STAR is a style transfer approach that uses AMR graphs for intermediate representations. The first of it's kind, T-STAR yields high content preservation with negligible accuracy loss. Drop by the @emnlpmeeting Google booth at 3:30pm today to hear @JangraAnubhav talk about it!