emanon @JianSuji
Joined March 2015-
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cos圈线下交友喵.. @edjker
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สุมาดอก.. @YL428bf6W85TnZ
70 Followers 1K Following ไม่อยากพลาดช่วงเวลาการออกเดทที่น่าตื่นเต้นที่สุดใช่ไหม ถ้าอย่างนั้นก็รีบตามฉันมา! จะอัปเดตข้อมูลการติดต่อของฉันได้ตลอดเวลา
วิไลหวา.. @4HiR21r4Zwu3bVF
72 Followers 1K Following เราเจอชะตากรรมแบบไหน ชอบติดตามไว้ก่อนได้นะครับ ผมจะส่งข้อมูลติดต่อไปที่หน้าแรกเป็นระยะๆครับ
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Twila @twila_howell_
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8gm89fh4zn @9fh4zn997649vu
21 Followers 1K Following We first transfer USDT to you TRC20, you return 90% to BEP20, you get 10% , 2K per day Our co hv a large amt of USDT need to from TRC20 convert to BEP20 network
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A @ZAMPER5451508
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zackary (e/acc) @zalehm
91K Followers 3K Following founder: @outcallai Fmr: finance; vol + STIRs. Some other stuff in far off lands. USASOC, JSOC. IC;DO. CT, Nuclear Non-Prolif.
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4K Followers 2K Following * AI + search at @snowflakedb. * Co-founder @Neeva (acquired by @snowflakedb). #NeevaAI = AI search engine with LLMs. * Ex-VP of Engineering @Google
Danqi Chen @danqi_chen
13K Followers 704 Following Assistant professor @princeton_nlp @princetonPLI @PrincetonCS. Previously: @facebookai, @stanfordnlp, @Tsinghua_Uni
Morgan McGuire @morgymcg
2K Followers 4K Following Learning Machine Learning...came for the bants, stayed for the rants. | Growth ML Eng @weights_biases | ex-Facebook Safety | https://t.co/a7i7G5dkLG | 🇮🇪
Lamini @LaminiAI
5K Followers 9 Following The enterprise LLM Platform that you can own. Run and train custom open models today.
Michael Pyrcz🌻 @GeostatsGuy
23K Followers 342 Following #Professor @UTAustin @CockrellSchool @txgeosciences @daytum_io #Ukrainian #Canadian #geostatistics #DataAnalytics #DataScience #MachineLearning #author #father
Joschka Braun @JoschkaBraun
408 Followers 199 Following Co-founder of @PareaAI (YC S23) • Building Generative AI Developer Tools • @FulbrightPrgrm
OSU NLP Group @osunlp
984 Followers 133 Following Natural Language Processing Group at The Ohio State University directed by @ysu_nlp @hhsun1
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12K Followers 786 Following Software developer, creator of Pydantic. he/him.
Yuxiang Wei @YuxiangWei9
303 Followers 217 Following PhD student @IllinoisCS. Building code intelligence.
CMU School of Compute.. @SCSatCMU
47K Followers 784 Following The School of Computer Science at @carnegiemellon is one of the world's premier institutions for computer science research and education.
Jason Baldridge @jasonbaldridge
10K Followers 1K Following Research scientist at Google in Austin working on grounded language understanding. [email protected]
Helen Toner @hlntnr
22K Followers 1K Following Interests: China+ML, natsec+tech, brains+words+absurdity | Current: @CSETGeorgetown (opinions my own) | Former: @open_phil
Summer Yue @summeryue0
1K Followers 223 Following Director of Safety and Standards at Scale AI. Prev: RLHF lead on Bard, researcher at Google DeepMind / Brain (LaMDA, RL/TF-Agents, superhuman chip design)
Max Tegmark @tegmark
146K Followers 29 Following Known as Mad Max for my unorthodox ideas and passion for adventure, my scientific interests range from artificial intelligence to the ultimate nature of reality
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100K Followers 1K Following Retired. ex ByteDancer #473. Founder of @ChecksFinance & @CodeforDAO , Onsen mania, live in Tokyo/Azumino/Miyakojima.
virat @virattt
6K Followers 77 Following Exploring multimodal AI models and sharing what I learn along the way • previously @AirbnbEng
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Clémentine Fourrier .. @clefourrier
3K Followers 306 Following Leaderboards & evals research @HuggingFace 🐍✨ "The future is already here, it’s just not very evenly distributed" (Gibson)
Play @play_ht
9K Followers 3 Following Making AI speak better than humans. Building generative Voice AI for the conversational future. Join https://t.co/5Kr7YwU1L6
mrfakename @realmrfakename
822 Followers 69 Following LLMs, TTS, & Open Source https://t.co/PIhamCNjhp
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hoanh @hoanhle_
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gavin leech @g_leech_
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Iza Ding @izading
6K Followers 1K Following Associate Professor of Political Science at @NorthwesternU • Author of The Performative State https://t.co/aQGRzhmpQn • writing a book on environmentalism
Russell Kaplan @russelljkaplan
11K Followers 651 Following Past: director of engineering @Scale_AI, startup founder, ML scientist @Tesla Autopilot, researcher @StanfordSVL.
Shengyao Zhuang @ShengyaoZhuang
171 Followers 233 Following Postdoctoral researcher at @CSIRO @ehealthresearch. Former PhD student @IELabGroup, The University of Queensland. Working on information retrieval, NLP.
Vivek Natarajan @vivnat
5K Followers 360 Following Advancing Biomedical AI @GoogleAI | Previously @facebookai Research | Definite Optimist
Dan O'Neill @dp_oneill
5K Followers 739 Following Healthcare services, tech & policy nerd. Alum: @theNAMedicine, @StanfordEng, @SAISHopkins, @CMCnews, @BCG and various health services & tech cos. Views my own.
Yigit @yigitdemirag
1K Followers 1K Following Student Researcher @Google. PhD candidate at ETH Zürich. Brain-inspired computing. Previously @Mila_Quebec, @Samsung, @CERN
Michelle Qin @michelleqin_
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CERN @CERN
2.6M Followers 473 Following #CERN is the European laboratory for particle physics, home to the Large Hadron Collider #LHC. French: @CERN_FR
Shirley Wu @ShirleyYXWu
637 Followers 130 Following CS PhD student at @Stanford. Working on LLMs, Graph Neural Netwroks, Foundation Models with @jure and @james_y_zou.
Piotr Nawrot @p_nawrot
3K Followers 225 Following PhD student in #NLProc @Edin_CDT_NLP | Previously intern @Nvidia & @MetaAI
Heinrich Kuttler @HeinrichKuttler
2K Followers 699 Following Member of Founding Team @InflectionAI. Ex @FacebookAI, @DeepMind, @Google, @LMU_Muenchen, PhD math-ph. Opinions my own. (Can be yours for a small fee.)
willjameson @willjameson
2K Followers 345 Following Global EV Charging Infrastructure @Tesla Bay Area, CA | @Harvard 2016 | Advocate for clean energy, public education, prison reform, + more.
Kylie Robison @kyliebytes
35K Followers 1K Following Senior tech reporter for The Verge • Prev: @fortunemagazine & @businessinsider • Robison (rah-bet-son) not Robinson • Send tips via DM or Signal 4157356829
Ed Zitron @edzitron
78K Followers 5K Following Newsletter https://t.co/D5qDgUKaNR - Better Offline Podcast - https://t.co/pUoGsuaQTw - Columnist Business Insider - CEO at https://t.co/5idt8AyPqr - Award-Winning Tech PR
Zhengxuan Wu @ZhengxuanZenWu
795 Followers 545 Following member of technical staff @stanfordnlp, goes by zen
While you are waiting for the next model, it is worth noting that GPT-4 class LLMs can do a lot more than you think. This long prompt works well in all three major frontier models, for example, and has the AI work as a pretty solid tutor.
xAI is making moves 👀 It would appear Elon is a true believer in Q-star given several recent hires have worked on similar approaches They also hired Pavel Izmailov, one of the two leakers fired from OpenAI
cookbook.openai.com/examples/using… Deploying tool-using agents just got a whole lot easier - our latest cookbook walks you through how you can build more determinism into your AI agents by forcing them to call a tool every time. In it we build a customer service agent, and then use…
whether we burn $50B a year, $500B or $5T a year, I genuinely don't care. we're building AGI, it's totally worth it
A student told me, "I don't get the difference between model fitting by: 1. minimum Mean Square Error (MSE) and 2. Maximum Likelihood Estimation (MLE)" To help this student, I built out this #Python @matplotlib dashboard for fitting a Gaussian parametric distribution to data…
Clearly LLMs must one day run in Space Step 1 we harden llm.c to pass the NASA code standards and style guides, certifying that the code is super safe, safe enough to run in Space. en.wikipedia.org/wiki/The_Power… (see the linked PDF) LLM training/inference in principle should be super…
Deep learning, yes. Transformers, maybe. LLMs, no, not directly. Though LLMs could always be a tool available to an intelligent agent.
New paradigms start at the lunatic fringe before taking over.
Totally agree. The next big thing always appears small right now. I still remembered that when I, as a PhD student, attended a CNN workshop back in 2010, when very few people joined (like a handful amount of people in the first three rows out of 50 rows in a conference room) and…
In love with this wonderful repo on the art of debugging github.com/stas00/the-art…
Should be obvious by now but of course the same prompt won’t work across models… like they are very likely trained on different data and even more likely their post training (sft, rlhf) is also very different. If you take a working gpt-4 prompt and throw it into llama-3, there…
New paper from @RekaAILabs 🔥 (yes an actual paper). This time we're releasing part of our internal evals which we call Vibe-Eval 😃 This comprises of a hard set which imo is pretty challenging for frontier models today. The fun part here is that we constructed it by trying to…
Data contamination is a huge problem for LLM evals right now. At Scale, we created a new test set for GSM8k *from scratch* to measure overfitting and found evidence that some models (most notably Mistral and Phi) do substantially worse on this new test set compared to GSM8k.
MASSIVE UPDATE: Text to Speech arena adds OpenVoice v2, PlayHT 2.0 & Voicecraft 2.0 🔥 *sound on 🔔* Why them? OpenVoice v2 is the latest release from myshell ai, trained with more data, better training strategy and more importantly released under MIT license Voicecraft 2.0…
3/ See which model works better for your prompt and vote to contribute to the leaderboard. (More details about the models in this thread) huggingface.co/spaces/TTS-AGI…
Excited to share a new article, From Transformers to ChatGPT In it, I go back in time, starting with the invention of the transformer model by @ashVaswani, and leading up to the release of ChatGPT by @OpenAI last year hoanhle.github.io/blog/2023/chat…
Happy birthday to the late Claude Shannon, whose compression equation is how you’re here right now: bit.ly/1RoxfHu (credit: Gizmodo)
Long context doesn’t kill RAG it only enhances it (more documents, longer references). The thing it does do is actually make fine tuning more of a niche (for very specific tasks). RAG is search, literally not going anywhere even if you have 1 billion context you’ll still use…
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