#NeurIPS2022 come to see our poster "Incremental Fourier Neural Operator" at AI4Science Workshop on Fri. (12pm). We incrementally augment frequency modes and data resolution during the training of FNO, which brings better generalization and less computational cost. x.com/zongyili_nyu/s…
INNOVATION
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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 -
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. -
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
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Fast DistilBERT Pipeline for CPU Inference Optimization
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Fast DistilBERT on CPUs. @HaihaoShen
, @ZafrirOfir
, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, @MosheWasserblat propose a new pipeline for creating and running Fast Transformer models on CPUs -
Intermediate Models Value Through Transfer Learning Fine-tuning
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Where to start? Analyzing the potential value of intermediate models. By finetuning a model on a source dataset, one may have a better starting point when finetuning a target dataset. @LChoshen
, Elad Venezian, Shachar Don-Yehia, @NoamSlonim
, @YoavKatz -
Hyperwrite AI Chatbot Alternative to ChatGPT Now Available
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While OpenAI ChatGPT is under heavy load, you can use our version! The UI might not be as pretty (yet), but with no signup restrictions, you can use it NOW to help you with your writing and pretty much anything else. Try it here: https://
hyperwriteai.com/chatbot -
Geoff Hinton: Future Computing is Analog, Mortal Computation
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AI pioneer Geoff Hinton says the future of computing is analog, something I’ve long believed. I think he’s right. And, the term mortal computation is a great moniker. // @geoffreyhinton // #computing #AI #deeplearning #mortalcomputation // @NeurIPSConf
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Pivoting Strategy: Improving Results Through Better Prompt Architecture
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so now I am pivoting and basically just going to try better prompt architecture within the application to get good results, I had some fun playing around with simple prompts like this already so I know it could work somewhat well