Simon Aytes

@s_aytes

MS AI at @kaist_ai 👨🏻‍💻 All opinions are my own.

Seoul, Republic of Korea Katılım Haziran 2016

195 Takip Edilen70 Takipçiler

Simon Aytes retweetledi

Kangsan Kim@kangsan_kim_·1 May

Introducing 🌌UniversalRAG — a novel RAG framework that adaptively retrieves from multimodal corpora (📕text, 🖼image, 🎥video) at the right level of granularity, from short snippets to long content. Huge thanks to @omarsar0 for sharing our work! Paper: arxiv.org/abs/2504.20734

elvis@omarsar0

Universal RAG RAG is dead, they said. Then you see papers like this and it gives you a better understanding of the opportunities and challenges ahead. Lots of great ideas in this paper. I've summarized a few below:

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Jinheon Baek@jinheonbaek·25 Nis

So excited to drop PaperCoder, a multi-agent LLM system that turns ML papers into full codebases. It looks like this:📄 (papers) → 🧠 (planning) → 🛠️ (full repos), all powered by 🤖. Big thanks to @_akhaliq for the shoutout! Paper: arxiv.org/abs/2504.17192

AK@_akhaliq

Paper2Code Automating Code Generation from Scientific Papers in Machine Learning

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Simon Aytes@s_aytes·11 Mar

📣 Excited to introduce Sketch-of-Thought (SoT) We've drawn inspiration from human cognition to make #LLM reasoning more efficient, reducing token usage by an avg. of 75% while having comparable accuracy to traditional CoT approaches. 🔗Paper: arxiv.org/abs/2503.05179

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Simon Aytes@s_aytes·15 Oca

Amazing #LLM research from my colleagues at the @kaist_ai graduate school! #ArtificialIntelligence #ComputerVision #Research

Jinheon Baek@jinheonbaek

Excited to introduce VideoRAG📽️, which extends the current landscape of RAG systems (that largely focus on text) by holistically leveraging the video corpus, utilizing both textual and visual features. Paper: arxiv.org/abs/2501.05874 @SoyeongJeong97 @kangsan_kim_ @SungJuHwang1

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Simon Aytes@s_aytes·4 Tem

Sources: [1] arxiv.org/abs/1906.02243 [2] earthobservatory.nasa.gov/images/152995/… (3/3)

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Simon Aytes@s_aytes·4 Tem

🔥 This July is projected to be the warmest month ever recorded [2]. It's crucial we address AI's environmental impact. Stay tuned for insights on AI’s carbon footprint, strategies for reducing energy use, and how AI can fight climate change. 🌿 #ClimateChange #AI (2/3)

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Simon Aytes@s_aytes·4 Tem

🌍 July Post Series: The Urgent Need for GreenAI 🌱 Did you know training one large AI model can emit as much CO2 as 5 cars over their lifetimes? 🚗🚗🚗🚗🚗 ICT, including AI, could use 20% of electricity & emit up to 5.5% of global CO2 by 2025! [1] (1/3)

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Simon Aytes@s_aytes·1 Haz

Last year, I applied and was accepted to 12 graduate programs in #AI, including KAIST, Columbia, and UCL. I am thrilled to share that an article I've written about my process for finding these programs is now live! 🚀 towardsdatascience.com/finding-your-d…

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Keşfet

@omarsar0 @_akhaliq @kaist_ai @elonmusk @BarackObama @taylorswift13 @cristiano @BillGates