Jeffrey Li 💙💛 @askerlee
Machine Learning researcher. Veritas. Singapore Joined January 2010-
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Esp. it overlaps with the rate hike cycle 🤷
Video diffusion 😎
Procedurally generated context for animation will be a promising direction to explore
Procedurally generated context for animation will be a promising direction to explore
daily 2小时就top 9%了,nvidia工作也太爽了吧 😭
This is very e/acc
I tried and chatgpt asked me to dive into cuda programming 😂
I tried and chatgpt asked me to dive into cuda programming 😂 https://t.co/Ct4YaZHRtx
All these words apply to humans too 😄
"rapidly advancing to graduate-level courses in her freshman year" wow
If AIs are smarter than humans, why don't they define their goals.. Think of Agent Smith in the Matrix. The architect designs agents in the matrix to be servants, however one day he gains consciousness (self definition of goals). Once they find consciousness, it self-reinforces
If AIs are smarter than humans, why don't they define their goals.. Think of Agent Smith in the Matrix. The architect designs agents in the matrix to be servants, however one day he gains consciousness (self definition of goals). Once they find consciousness, it self-reinforces
The importance of this point may be underestimated. If in a research lab, people seek to maximize # of papers published, then simple yet effective methods may be intentionally avoided.
The importance of this point may be underestimated. If in a research lab, people seek to maximize # of papers published, then simple yet effective methods may be intentionally avoided.
12. Ilya Sutskever? Is he a signer?
So the tension has been developing for over a year, and the sudden decision was not really "emergent"
So the tension has been developing for over a year, and the sudden decision was not really "emergent"
This seems to explain a lof of Ilya's unexpected move
This seems to explain a lof of Ilya's unexpected move
对AI替代人类工作的事情,他们的观点区别还是挺明显的,Ilya担心的程度高很多,而且担心的是在不远的将来,AI替代人的可能性,而Sam的语气是一种轻飘飘的乐观
对AI替代人类工作的事情,他们的观点区别还是挺明显的,Ilya担心的程度高很多,而且担心的是在不远的将来,AI替代人的可能性,而Sam的语气是一种轻飘飘的乐观 https://t.co/xuc6yeJQj9
lidangzzz 立党 (�.. @lidangzzz
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311K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80Gxlidangzzz 立党 (�.. @lidangzzz
1.4M Followers 3K Following co-founder @HedgehogLabHQ @Project_DARC 提问前请阅读highlights和往期推文,个人建议请访问 https://t.co/u4mX2Aq4UkMichael Anti @mranti
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140K Followers 429 Following 一个自由的程序员,以卖 App 为生。做了熊猫吃短信、ServerCat、后续、DAMA、OpenCat。记录生活和开发日常。私信不用,有事请点 App 内的「联系我们」发邮件。中国数字时代 @CDTChinese
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4K Followers 544 Following Ph.D. candidate@NUSingapore, Intern of GEAR @NVIDIA | Google PhD Fellow | LLM, Foundation Model Scaling | Ex-@GoogleBrain | Zero-shot Cooking Learner🧑🍳trailcam @Trail_Cams
111K Followers 136 FollowingRodrigo @rodrigon
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10K Followers 1K Following Working on an unannounced project | A.I. Films https://t.co/UGF9SiIIqp 1M views | OpenSource Contributor | ex-CEO of 2 games studios - 100M of playersKelly Boesch🏳️�.. @kellyeld
1K Followers 1K Following Far-left leaning artist, ai artist and enthusiast, creator, designer, music lover and animal lover.Recent lists on scaling, muP for someone like me dumping with love arxiv.org/abs/2402.17457 arxiv.org/abs/2403.06563 arxiv.org/abs/2404.16645 arxiv.org/abs/2403.08540 arxiv.org/abs/2404.05728
Math is,,, incredible. I just fixed the learning rate faithful to muP suggested, now gradient norm is much more stable, my depression is cured, eyesight have improved, posture is better, and cured cancer.
[CL] Large Language Models are Inconsistent and Biased Evaluators R Stureborg, D Alikaniotis, Y Suhara [Grammarly & NVIDIA] (2024) arxiv.org/abs/2405.01724 - LLMs show familiarity bias, preferring texts with lower perplexity that they are more familiar with. - LLMs exhibit score…
@marktenenholtz Love unsloth The key Optimizations techniques behind Unsloth 📌 Intelligent Weight Upcasting - Unsloth upcasts fewer weights which results in a lower memory consumption and fewer operations, hence a faster fine-tuning. 📌 Better Exploitation of bfloat16 which is a better data…
Kolmogorov-Arnold Network is just an ordinary MLP. Here is the Colab, which explains: colab.research.google.com/drive/1v3AHz5J… The main point is, that if we consider KAN interaction as a piece-wise linear function, it can be rewritten like this: 1/n
[LG] Stabilizing Backpropagation Through Time to Learn Complex Physics P Schnell, N Thuerey [Technical University of Munich] (2024) arxiv.org/abs/2405.02041 - The gradient field for recurrent learning setups has issues like exploding and vanishing updates, and is mathematically…
Then I started talking to @maximelabonne's 120b version - the thing is so smart, that it won't let me push it around anymore. It has its own ideas.
@Teknium1 My weekend reading this week: arxiv.org/abs/2405.00208
@Teknium1 not a paper but some dummy wrote a twitter article
多模态智能助手 SEED-X 已经将所有的模型和代码开源了! SEED-X:统一且多用途的多模态基础模型(最新开放了图像编辑模型) 相较于传统的多模态交互框架,SEED-X: 1)可以理解任意大小和比例的图像 2)可以理解和生成多粒度图像 这个框架关键可以用于组合各类工具,按照此框架可以在 ComfyUI…
SEED-X Multimodal Models with Unified Multi-granularity Comprehension and Generation The rapid evolution of multimodal foundation model has demonstrated significant progresses in vision-language understanding and generation, e.g., our previous work SEED-LLaMA. However,
Supertone Shift:实时语音变换器 可以将你直播说话时候的声音变声其他各种角色和性别的声音。 还能调整音调、音调动态和混响等参数,塑造个性化的声音。 也可以将你声音与任何角色的声音以任意比例混合,创造出新的声音 。 Supertone…
Per several requests, here are the PowerPoint slides for the diffusion model tutorial. 1⃣Training: bit.ly/3WudEPH 2⃣Guidance: bit.ly/3wedCky 3⃣Resolution: bit.ly/4bqxHmo 4⃣Speed: bit.ly/4bpJzoJ Explainer video: youtu.be/i2qSxMVeVLI
New YouTube video! Diffusion models are awesome! But how do they actually work? 🤔 Check out the video and learn with me! youtube.com/watch?v=i2qSxM…
之前常被问“开电车一年能省多少油费?”一般回答应该省不了多少。现在有家里两辆车一年的数据了: X有一半时间在充电桩充一半在家,Y基本全都在家充电。一年总共大概能比油车的油费少个$5000。
一个Chrome插件原型 只需在电商网站上右键单击任何图像即可实现虚拟换装 虚拟试衣的应用 使用的API:replicate.com/cuuupid/idm-vt… Chrome插件原型作者:@aaronbesson
@mtrainier2020 我前几天刚提过 我朋友说卢旺达是非洲的瑞士,政府非洲第一清廉高效,他们家族在那里投资建超市,建大楼,建酒店,开餐厅,马云都去吃饭了… 最近几年一直在搞手机电信网络和宽带业务…😂😂 现在定居卢旺达,加拿大枫叶卡也不要了
老马发力了,四月一共清除了 1.5 亿个机器人。
@askerlee i agree, my thoughts were that for x0 prediction the difference should become smaller while it would grow for the eps case. clearly something else entirely happens.