did u know that everyone in America is female youtu.be/DR8fHT31aPA?...
remi ๐
remi ๐
@remi4.bsky.social
๐ต๐ธ just a chill guy he/him 21yo studying ai poxi.io/@samurai4
52 followers326 following75 posts
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Ten simple rules for developing good reading habits during graduate school and beyond To me, the most important are: Read often, read broadly (incl. older papers and outside your field), and learn to read some papers in detail and others more superficially (and quickly)
Ten simple rules for developing good reading habits during graduate school and beyond journals.plos.org/ploscompbiol...
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Wanna bit of writing advice? I try to avoid using โthisโ in the sense of, for example, โone of the features of this caseโ unless itโs very close to the referent. It puts cognitive load on the reader to dredge up what it refers to. Better to say โone of the features of the case of the red dogโ.
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But before I get to the reasoning model space... if you are looking to do some focused offline reading this weekend, I just re-compiled my take on the "noteworthy AI research papers of 2024" into one PDF-export-friendly 47-page mega-post with TOC and all:ย sebastianraschka.com/blog/2025/ll...
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Behind the scenes with what its like to build language models and pursue (hopefully) cutting edge AI research Interviewing OLMo 2 leads: Open secrets of training language models What we have learned and are going to do next. YouTube: https://buff.ly/40IlSFF Podcast / notes:
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Moonshot AI, a startup team from China, has today released another multi-modal model that reaches the level of OpenAI's o1: Kimi k1.5. Currently, only the Chinese version is available, but the English version website will be launched soon. Project: www.moonshot.cn Key Technologies of Kimi k1.5
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Ace your NLP Interview by neuralnetwork trite-song-d6a.notion.site/Ace-your-NLP...
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Understanding LSTM Networks Long Short Term Memory networks โ called โLSTMsโ โ are a special kind of RNN, capable of learning long-term dependencies. They were introduced by Hochreiter & Schmidhuber, and were refined and popularized by many people in following work. colah.github.io/posts/2015-0...
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Playing around with AI agents, and I reckon Gradio spaces on the hub make the perfect tools. - super easy to connect your agents to a bunch of useful tools and apps. - find a Space you like on Hugging Face Hub or make your own with Gradio. - link it up with smolagents. ๐งต
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This feels interesting. I have not tried it yet. OmniThink YOU can create a long-form article that is not just longer but also richer, more insightful, and packed with real-world value. ๐ Paper: arxiv.org/abs/2501.09751 ๐ฅ Demo: www.modelscope.cn/studios/iic/... ๐ป Code: github.com/zjunlp/OmniT...
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Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.
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@dabeaz.com's courses ("the kind of courses you wish you could take in graduate school, but without all of the exams and psychological trauma") look like fun. If I had the luxury of a sabbatical/free time I would sign up! www.dabeaz.com/courses.html
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๐ Skyrocketing๏ผ ๐ (200+ new stars) ๐ฆ srbhr / Resume-Matcher โญ 7,210 (+486) ๐ Python Resume Matcher is an open source, free tool to improve your resume. It works by using AI, Reader LLMs, to compare and rank resumes with job descriptions.
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I think thereโs a misconception out there that good writing means phrasing things in a way nobody ever has or wouldโthat if a sentence feels familiar in the mind it fails. The opposite is true. Good writing is phrasing things in a way everyone has always wanted to and recognizes in their hearts.
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Good pointer to a paper I might have otherwise overlooked in my current reading rotation but for the clear eval implications Also reminder you should probably be following Ehud on here for a scoop on eval and nlg stuff
Really interesting paper for our reading group, "Language Models Learn to Mislead Humans via RLHF" (arxiv.org/abs/2409.12822). Looks like RLHF teaches models to produce convincing hallucinations and to generate hard-to-check code. Implications for safety and human evaluation
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Recent DSLC.io club meetings: ๐ข Practical Deep Learning for Coders: Karras et al youtu.be/K6LDsL4T5Bk Visit dslc.video for hours of new #DataScience videos every week! #dataBS #PyData #DeepLearning #AI
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Adobe's TransPixar - it generates video with transparent background.
the method is called TransPixar and makes it possible to create transparent elements like smoke and reflections that blend seamlessly into scenes project page: wileewang.github.io/TransPixar/ code: github.com/wileewang/T... demo: huggingface.co/spaces/wile...
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Before diving into the technical aspects of my #DeepLearning course, our next lecture will explore Ethics, Security, Privacy in ML, and the Future of Work. Course slides: www.eecs.yorku.ca/~kosta/Cours...
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Carpenter and Grossberg paper that changed things for me:
In the latest โThis paper changed my life,โ Luiz Pessoa @pessoabrain.bsky.social discusses the paper that taught him that mathematical modeling can be used to understand how neural networks are organized. www.thetransmitter.org/this-paper-c...
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Questionable practices in machine learning arxiv.org/pdf/2407.12220 #machinelearning #artificialintelligence #datascience
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Excited to finally share this work w/ @suryaganguli.bsky.social Tl;dr: we find the first closed-form analytical theory that replicates the outputs of the very simplest diffusion models, with median pixel wise r^2 values of 90%+. arxiv.org/abs/2412.20292
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๐จ New paper (with @eitanwagner.bsky.social @joebarnby.bsky.social and Omri Abend) on how we (should) evaluate Theory of Mind in Large Language Models. While recent work claims LLMs have ToM capabilities, we're missing crucial aspects from cognitive science. Here's why this matters ๐งต
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[23/30] 76 Likes, 2 Comments, 2 Posts 2412.09624, csโคCV | csโคRO, 12 Dec 2024 ๐GenEx: Generating an Explorable World Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan Yuille, Jieneng Chen
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๐งต Today with @polymathicai.bsky.social and others we're releasing two massive datasets that span dozens of fields - from bacterial growth to supernova! We want this to enable multi-disciplinary foundation model research.
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Check out this link for my 6100+ (and counting!) #ComputerVision slides ๐ www.eecs.yorku.ca/~kosta/Cours...
Thatโs a wrap on the Fall 2024 edition of my #ComputerVision course! Taking a sabbatical next year, so it wonโt return until Fall 2026 ๐ข Up next: Teaching #DeepLearning this winter ๐ค
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