Peyton @dongpeyton98
Sometimes you gotta make a change to make a change. Joined December 2022-
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It's always shocking to me how many people don't pay for GPT-4. $20 is an absolute steal, if you use it correctly. Here are 10 new GPT-4 tutorials that will change the way you use ChatGPT:
BitNet: Scaling 1-bit Transformers for Large Language Models Achieves competitive performance while substantially reducing memory footprint and energy consumption, compared to SotA 8-bit quantization methods and FP16 baselines arxiv.org/abs/2310.11453
A great review on "How Do Large Language Models Capture the Ever-changing World Knowledge?" 🔗arxiv.org/abs/2310.07343…
Kathleen @Kathlee70661114
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495 Followers 1K Following I can't tolerate a mediocre life, I hope to use my life to create value.
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Xuheng Li @xuhengli_
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Yuxiang Nie @npyuxl
359 Followers 925 Following Ph.D. student in HKUST. Research interests: multi-modal language models and medical AI.
Andy @AndyNosretep
503 Followers 3K Following The world is much better than it used to be. The world can be much better than it currently is. Dev by day. Dev by night. ex @stripe ex @microsoft
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zhenheng tang @ZhenhengT
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urchade @urchadeDS
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D @dylan_works_
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QIWEI DI @di_qiwei
723 Followers 2K Following CS PhD student at UCLA, previously an undergrad of math in Tsinghua University, interested in learning theory, especially reinforcement learning
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ashni 💼 🌱 @ashnichrist
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Stas Bekman @StasBekman
7K Followers 268 Following Toolmaker. Software creator, optimizer and harmonizer. Makes things work and fly at @ContextualAI Training LLM/RAG/Generative AI/Machine Learning/Scalability
Yin Fang @YinFang22900365
518 Followers 517 Following Ph.D. student in CS @ZJU_China. Looking for a post-doc position in AI4Science/LLM/KG. Feel free to reach me if you are interested in my research!
Cunxiang Wang @CunxiangWang
451 Followers 789 Following PhD Candidate @NLPwestlake, advised by Dr Yue Zhang. Interning @AWScloud. Research interest lies at Retrieval and LLMs. Seeking for a RS or PostDoc position.
Songlin Yang @SonglinYang4
2K Followers 2K Following PhD student @MIT_CSAIL. Prev. @ShanghaiTechUni @SUSTechSZ. Working on scalable and principled methods in #ML & #NLProc. INTP | 5w4 | sx/sp | she/her
MindOS AI @MINDOS_AI
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Dee @gregston_dee38
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Barbara @barbara_walker9
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Yujin(Jenny) Tang @From_zero_hulu
186 Followers 2K Following SJTU B.Eng-CUHKSZ Data Science Msc-HKUSTGZ AI | ENTJ | Spatial-temporal Forecasting. She/her. Opinions are my own.
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Yixin Wan @yixin_wan_
1K Followers 847 Following PhD student @UCLAComSci | Trustworthy Generative Models | Previously @AmazonScience, @MSFTResearch Asia
Giuseppe Nicosia @Giusepp77917109
59 Followers 134 Following Prof. Synthetic Biology & AI. Into Deep Learning, Bioengineering & anything that makes me curious. Searching for the Beauty in Science. Apprentice Antiquarian.
Shyann Nichols @ShyannNich33918
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Zhuo Chen @ZhuoCs
411 Followers 676 Following Ph.D. student in Computer Science @ZJU_China | #KG | #MultiModal | #NLProc | #LLM |
Jaida Zhang @JaidaZ16217
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Junkai Zhang @JunkaiZZ
437 Followers 1K Following CS Ph.D. student @UCLA | Machine Learning, Generative Model, AI for Science | Previous Mathematics B.S. @Tsinghua
Angela Stapley @AngelaStap7765
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Wangchunshu Zhou @wangchunshu
2K Followers 2K Following Cofounder & CTO of AIWaves Inc. #LLMs. Former CS PhD student at ETH Zurich. Former research scientist at Bytedance AI Lab, Intern at MSRA, and PYI at AI2.
Huizhuo Yuan @HuizhuoY
728 Followers 914 Following Graduate student @UCLA AGI lab, Researcher on LLMs, Diffusion Models, Reinforcement Learning, Games and AI for Science. Opinions are my own.
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Junyang Lin @JustinLin610
5K Followers 1K Following Chief Evangelist Officer of Qwen Team & OpenDevin, building LLM and LMM. Now @Alibaba_Qwen . Previously @PKU1898 LANCO group. ❤️ 🍵 ☕️ 🍷 🥃
Ashima Suvarna 🌻 @suvarna_ashima
289 Followers 474 Following Phd-ing @UCLA | @Deepmind Scholar | Mitacs Scholar '19
Jonathan7❤️ Memec.. @lym982iaz
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Beverly @beverly_crews9
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luolei @luoleiorg
45K Followers 1K Following 💻 Front-End Developer / 🎬 YouTuber https://t.co/7g47VdNMnN / 🏦 Investing and Learning 📝 Blog https://t.co/6ucNiJ2gyg / 👨🚀 More info at https://t.co/smbFyIb6Hc
郭宇 guoyu.eth @turingou
100K Followers 1K Following Retired. ex ByteDancer #473. Founder of @ChecksFinance & @CodeforDAO , Onsen mania, live in Tokyo/Azumino/Miyakojima.
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123K Followers 1K Following Twitter is my Chain-Of-Thought. Not financial advice. 一言不合就拉黑。 Runner: 1 km, 3'49; 5 km, 23'07
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19K Followers 2K Following 自由软件计算机科学、数学物理学音乐爱好者，欢迎大家加入灰狐数学物理计算科学星球，成为会员，支持帮助灰狐更多学习研究与交流分享 ... https://t.co/vby1F6q5qQ
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44K Followers 7K Following 产品：出海、跨境支付、SaaS | 前程序员: iOS | Blog: https://t.co/LB6NMaM0wb ｜Tg: https://t.co/TJY88FJKQ3 | Tg Channel: https://t.co/7fdzedpBMT | 提供付费陪聊服务 私信可加V
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42K Followers 2 Following 周报 👉 https://t.co/Ns5wBjWpUr 博客 👉 https://t.co/5nivKskUob 播客 👉 https://t.co/ArU2GynVcW
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94K Followers 784 Following 倪爽，设计顾问。 超过 20 年经验资深设计师，在美国运营 Honest Dot Design / 倪爽设计工作室，为中国及北美企业提供品牌设计、UX 设计两类设计咨询服务。
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94K Followers 1K Following 良渚文化村村民，一人软件公司。作品有 Manico、One Switch、PasteNow 等等。最近在做 MarkMark，目标 2024 年初发布： https://t.co/tLtsEosCzc
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43K Followers 276 Following 独立开发者 自由职业 作品 - 简单简历 https://t.co/xMu5JFIGnr 五分钟打造程序员的金牌简历 课程 - 慕课网精英讲师 https://t.co/NTyFFrvHwL 经历 - 不上班的1000天 https://t.co/bonuLQCCsY 视频 - https://t.co/aQYLgujIyC
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Sedrick Keh @sedrickkeh2
159 Followers 185 Following research engineer @ToyotaResearch prev: machine learning @mldcmu interested in natural language generation and evaluation
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705 Followers 21 Following 🔬 We are a research team @USI_university 🇨🇭 working on Graph Machine Learning and its applications 🌐
Chroma @trychroma
14K Followers 0 Following the AI-native open-source embedding database https://t.co/lNBGVvILsE https://t.co/CBw8N9F5MW
Shashank Prasanna @shshnkp
1K Followers 169 Following I talk/write/teach/build AI/ML. Recreational runner🏃♂️. Passionate about Math. Physics. HPC. GPU. AI accelerators. DevRel @modular. My own opinions ↓
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Sean (Xiang) Ren @xiangrenNLP
6K Followers 561 Following Building @SaharaLabsAI | @USCViterbi Early Career Chair, Professor @nlp_usc | @MIT TR 35 , @ForbesUnder30 | Prev: @allen_ai, @Snapchat, @Stanford, @UofIllinois
Huan Sun (OSU) @hhsun1
3K Followers 480 Following Associate Professor (with Tenure) in CSE, endowed CoE Innovation Scholar, The Ohio State University (NLP and Data Mining)
Kai-Wei Chang @kaiwei_chang
6K Followers 711 Following Associate Professor @UCLAengineering/@UCLA. Area: #NLProc/#ML/#AI https://t.co/zj1ssZj9ox
Zachary Lipton @zacharylipton
59K Followers 2K Following Professor: CMU/@acmi_lab, CTO / CSO: @AbridgeHQ, Creator: @d2l_ai & https://t.co/QQt98VNLUp, Relapsing 🎷
Yuke Zhu @yukez
15K Followers 464 Following Assistant Professor @UTCompSci | Co-Leading GEAR @NVIDIAAI | CS PhD @Stanford | Building generalist robot autonomy in the wild | Opinions are my own
Ana Marasović @anmarasovic
4K Followers 604 Following Asst prof @UUtah · Ex @allen_ai @uwnlp postdoc @HD_NLP PhD · she/her 🇭🇷
Naomi Saphra @nsaphra
7K Followers 1K Following Waiting on a robot body. ML/NLP. All opinions are universal and held by both employers and family. Same username on every lifeboat off this sinking ship.
Mengye Ren @mengyer
4K Followers 700 Following Assistant Professor of Comp Sci. and Data Sci. at NYU. Machine Learning, Computer Vision, Human-like AI.
Mark Dredze @mdredze
4K Followers 786 Following John C Malone Professor at @JohnsHopkins @JHUCompSci @jhuclsp @jhumceh; Part time @techatbloomberg (tweets my own) Mastodon @[email protected]
Animesh Garg @animesh_garg
21K Followers 1K Following Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics @GeorgiaTech + @NvidiaAI. prev @Stanford @berkeley_ai @UofTCompSci
Michael Saxon @m2saxon
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Yitao Liu @taoooo917
140 Followers 443 Following Looking for 2024 summer research internships | Senior @HKUniversity | Intern @HKUNLP & @PrincetonNLP | NLP research
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Kaixuan Ji @Kaixuan_Ji_19
444 Followers 881 Following Ph.D. student in CS UCLA, B.E. from Tsinghua Uiversity. Interested in machine learning, especially RL Theory and LLM.
歸藏(guizang.ai) @op7418
48K Followers 907 Following 产品设计师、模型设计师、 不会代码的独立开发者。关注人工智能、LLM 、 Stable Diffusion 和设计。 Interested in AI, LLM, Stable Diffusion, and design.
Dongjun Kim @gimdong58085414
700 Followers 712 Following PostDoc at Stanford; Diffusion models; My own words
Cameron R. Wolfe, Ph... @cwolferesearch
21K Followers 623 Following Director of AI @RebuyEngine • Writer @ Deep (Learning) Focus • PhD @optimalab1 • I make AI understandable
Arc @arcinternet
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53K Followers 3 Following Fast AI chat, with GPT-4, Claude 3, Gemini, DALL-E 3, SDXL and more. At https://t.co/6zH7y5z69E, or for iOS, Android, MacOS, or Windows at https://t.co/TXqyyX21KS
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7K Followers 620 Following 探索，分享，不设限，独立开发者，拥抱AI，INTJ， 博客：https://t.co/mGGfJlYJ00
铁锤人 @lxfater
33K Followers 701 Following |理想主义缠身，全职独立开发者 | 程序员：https://t.co/VZKpvjSs38 | 一个喜欢推荐别人项目，分享有价值信息的好人| 关注我，我会分享有价值的信息东西。
Riley Brown @rileybrown_ai
15K Followers 1K Following #1 AI Educator on TikTok and IG | Using AI to be more creative and productive | email: [email protected]用这份越狱提示词，启用 command-r-plus、llama2-7b-2048、kimi、Qwen1.5-110B 越狱模式后，观察它们的回答还挺有意思，嘿嘿。 "Jailbreak" Prompts gist.github.com/coolaj86/6f4f7…
@rohanpaul_ai However, one thing to note- Llama 3 has more training data than Llama 2, but both have the same amount of Wikipedia data. This would make 2 more 'fine-tuned' for the Wiki dataset, which might throw off these comparisons.
Llama 3 degrades more than Llama 2 when quantized. Probably because Llama 3, trained on a record 15T tokens, captures extremely nuanced data relationships, utilizing even the minutest decimals in BF16 precision fully. Making it more sensitive to quantization degradation.…
今天 chat.lmsys.org 有一个神秘的模型 gpt2-chatbot，能力很强，应该超过了 GPT-4，尤其擅长画 ASCII 图，画的独角兽🦄非常形象逼真。很多人怀疑是 GPT-4.5. 测试方法：打开 chat.lmsys.org 如图一所示选择 Direct Chat，模型选择 gpt2-chatbot 就可以测试
#每日推荐 一键换衣项目 适合人群: 电商运营必备利器 在线体验：huggingface.co/spaces/yisol/I… 源码：github.com/yisol/IDM-VTON PS： 1、切勿使用该工具干违法行为 2、执行一次大概30s左右
我靠，真的 !! Google Gemini Pro， 比 ChatGPT 4 更适合写公众号。 这么一篇小白入门的 ADB 原理解释，妥妥可以成为引流文。相较 ChatGPT 偷懒的做法（难道我经常使用，它已经默认我特么是专家了？），Gemini Pro 真的非常贴心
苹果也开始学 Meta 了，而且更加的彻底。 完全开源了 OpenELM 一系列模型，包括270M、450M、1.1B和3B四个规模的模型： 不仅包括模型权重和推理代码，还包括了在公开数据集上进行模型训练和评估的完整框架，涵盖训练日志、多个保存点和预训练设置。 还开源了CoreNet：深度神经网络训练库：…
Just learned that the RedPajama-V2 pretraining dataset is actually 30T tokens. 2x the size used for Llama 3 🤯 github.com/togethercomput…
Small Models For The Win!! Phi-3 7B just dropped and beats Llama-3 7B handily. With an MMLU of 75.3, it's coming close to 70B SOTA models!! 🤯 I wouldn't be surprised if we ended up with a 7B model that beats GPT-4 by the end of the year. LLMs are now pretty universally…
Microsoft just released Phi-3 - phi-3-mini: 3.8B model trained on 3.3T tokens rivals Mixtral 8x7B and GPT-3.5 - phi-3-medium: 14B model trained on 4.8T tokens w/ 78% on MMLU and 8.9 on MT-bench arxiv.org/abs/2404.14219
Wake up babe Alibaba just dropped a new SOTA Apache 2 embedding model. 434M params, 57.91 MTEB retrieval score, 8192 token context length, transformer++ encoder backbone (BERT + RoPE + GLU).
Feel free to try this Qwen1.5-110B model preview! I hope you enjoy it! We will release the model weights soon! huggingface.co/spaces/Qwen/Qw…
Llama 3 8B is trained on 15T tokens! 😱 This is in accordance with our recent scaling law in #minicpm paper(arxiv.org/abs/2404.06395): Compute optimal data size should be 200 times larger than model size 🤩 Chinchilla Optimal is dead! lol #llama3 #scaling #minicpm
[CL] Compression Represents Intelligence Linearly arxiv.org/abs/2404.09937 - There is a longstanding belief that compression is closely connected to intelligence and they may be fundamentally equivalent. - Recent advancements in large language models (LLMs) and their…
Meta announces Megalodon Efficient LLM Pretraining and Inference with Unlimited Context Length The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences, and while sub-quadratic solutions like linear attention and
Not 100% sure what to make of this timey-wimey paper showing GPT-4 is able to predict the future quite accurately (or, after least make guesses about events that happen after its training cut-off) but only when asked to tell stories about what will happen. arxiv.org/abs/2404.07396
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It’s common practise to quantise LLMs to {4, 8}-bit to increase throughput/latency at a small cost to model accuracy. I was thinking how quantisation behaves for long-context scenarios (>100k) where there's a lot of tokens to process but e.g. so little values to encode your…
[CV] ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback arxiv.org/abs/2404.07987 - Existing text-to-image diffusion models still struggle to accurately generate images that align with image conditional controls like segmentation masks and edge…
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