Taking over fast, our days are numbered
AI
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Meta’s AI Mastered Power-Seeking Strategy in Diplomacy Game
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Meta’s new #AI is skilled at a ruthless, power-seeking game https://
washingtonpost.com/technology/202
2/12/01/meta-diplomacy-ai-cicero/
… @washingtonpost #ArtificialIntelligence #MachineLearning #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience #DeepLearning -
CASCADE: Learning World Models with Multi-Agent Reward-Free Data
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Learning General World Models in a Handful of Reward-Free Deployments.
CASCADE seeks to learn a world model by collecting data with a population of agents. @YingchenX
, @JParkerHolder
, @AldoPacchiano
, @PhilipJohnBall
, @_Oleh
, Stephen J. Roberts, @_Rockt
, @EGrefen -
SAMPLR: Minimax Regret Method for Unsupervised Environment Design
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Grounding Aleatoric Uncertainty for Unsupervised Environment Design. @MinqiJiang
, @MichaelD1729
, @JParkerHolder
, @_AndreiLupu
, Heinrich Küttler, @EGrefen
, @_Rockt
, @J_Foerst propose SAMPLR, a minimax regret UED method that optimizes the ground-truth utility function. -
Language Dynamics Distillation Improves Policy Learning
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Improving Policy Learning via Language Dynamics Distillation. @hllo_wrld
, @Jayelmnop
, @LukeZettlemoyer
, @EGrefen
, @_rockt propose Language Dynamics Distillation (LDD), which pretrains a model to predict environment dynamics given demonstrations with language descriptions -
Language Abstractions Improve Intrinsic Exploration in AI
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Improving Intrinsic Exploration with Language Abstractions. @Jayelmnop
, @hllo_wrld
, @RobertaRail
, @MinqiJiang
, Noah Goodman, @_rockt
, @EGrefen explore natural language as a general medium for highlighting relevant abstractions in an environment. -
Compression Enhances Generalization in Multilingual NER Models
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Intriguing Properties of Compression on Multilingual Models. This paper finds that compression confers several interesting & prev. unknown generalization properties on mBERT NER models. Kelechi Ogueji, Orevaoghene Ahia, @lekeOnilude
, Sebastian Gehrmann, @SaraHookr
, @KreutzerJulia -
Exploration Integral to General Intelligence and Learning Systems
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General Intelligence Requires Rethinking Exploration. @MinqiJiang
,
@_rockt
, @EGrefen argue that exploration is integral to all learning systems despite the fact that the study of exploration in AI has mostly focused on reinforcement learning. -
HELM: Holistic Evaluation Method for Language Models
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Language Models are Changing AI: The Need for Holistic Evaluation. New benchmarking method, Holistic Evaluation of Language Models (HELM) has been developed at the Center for Research on Foundation Models to help provide transparency in LMs. @RishiBommasani
, @PercyLiang
, Tony Lee -
Explainable Artificial Intelligence XAI for Engineers
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Explainable Artificial Intelligence (XAI) for AI & ML Engineers: This article was published as a part of the Data Science Blogathon. Introduction Hello AI&ML Engineers, as you all know, Artificial Intelligence (AI) and Machine Learning Engineering are… https://
analyticsvidhya.com/blog/2022/10/e
xplainable-artificial-intelligence-xai-for-ai-ml-engineers/?utm_source=dlvr.it&utm_medium=twitter
…