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New work led by @harshays_ on studying how model components affect predictions! Paper link: arxiv.org/abs/2404.11534 Blog: gradientscience.org/modelcomponents
New work led by @harshays_ on studying how model components affect predictions! Paper link: arxiv.org/abs/2404.11534 Blog: gradientscience.org/modelcomponents
We are hosting a meetup around LLMs & RAG on April 30 in SF – lu.ma/pathway-meetup. Talks by @lukaszkaiser (Co-author of Attention is All You Need) & @JChorowski (Co-author with Y Bengio and G Hinton) followed by drinks and bites (🍕 /🍺). See you there!
New findings: We just evaluated Gemini 1.5 Pro on our recent benchmark that tests the impact of context size on reasoning performance - it is much better than 1.0 in long contexts! Though still falls behind GPT4. Also, CoT prompting now improves accuracy (unlike with 1.0). (1/4)
✨Excited to finally drop our new paper: SSMs “look like” RNNs, but we show their statefulness is an illusion🪄🐇 Current SSMs cannot express basic state tracking, but a minimal change fixes this! 👀 w/ @jowenpetty, @Ashish_S_AI arxiv.org/abs/2404.08819
Gravity causes planets to orbit around their stars and bodies on Earth to fall towards the ground; however, goats seem they don't care at all.
The latest evals are in, and we’re open sourcing a GitHub repo to run popular evals on various models, including our latest GPT-4 Turbo model. Evaluating models is challenging—we’ve found this useful and want to share with the broader community. github.com/openai/simple-…
The latest evals are in, and we’re open sourcing a GitHub repo to run popular evals on various models, including our latest GPT-4 Turbo model. Evaluating models is challenging—we’ve found this useful and want to share with the broader community. github.com/openai/simple-…
🔥Exciting news -- GPT-4-Turbo has just reclaimed the No. 1 spot on the Arena leaderboard again! Woah! We collect over 8K user votes from diverse domains and observe its strong coding & reasoning capability over others. Hats off to @OpenAI for this incredible launch! To offer…
turbo reliably solves a math question while opus struggles, “never seen any model being so competent in solving equations”
turbo reliably solves a math question while opus struggles, “never seen any model being so competent in solving equations”
New paper out today in @NatMachIntell, where we show robust neural to speech decoding across 48 patients. nature.com/articles/s4225…
Making a music video with Sora: "this is how the song has always 'looked', it's just that now i get to show you." youtube.com/watch?v=Se93p3…
Ever wonder why we don’t train LLMs over highly compressed text? Turns out it’s hard to make it work. Check out our paper for some progress that we’re hoping others can build on. arxiv.org/abs/2404.03626 With @blester125, @hoonkp, @alemi, Jeffrey Pennington, @ada_rob, @jaschasd
We're introducing new dashboards, metrics, and integrations in the fine-tuning API to give developers more control, and adding new ways to build custom models with OpenAI. openai.com/blog/introduci…
im an alien of exceptional ability
You can now edit DALL·E images in ChatGPT across web, iOS, and Android.
We’re rolling out the ability to start using ChatGPT instantly, without needing to sign-up, so it's even easier to experience the potential of AI. openai.com/blog/start-usi…
Copied here: Zen and the Art of Research Management (with apologies to Sun Tzu), John Naughton, Robert W. Taylor 1. Hire only the very best people, even if they are cussed. Perhaps especially if they are cussed. Your guiding principle should be to employ people who are…
We're sharing our learnings from a small-scale preview of Voice Engine, a model which uses text input and a single 15-second audio sample to generate natural-sounding speech that closely resembles the original speaker. openai.com/blog/navigatin…
Another pro-tip for doing really well on evals: just train on the test set. Literally just do it, you have the examples right there. Ie. here's [redacted] on HumanEval.
Another pro-tip for doing really well on evals: just train on the test set. Literally just do it, you have the examples right there. Ie. here's [redacted] on HumanEval. https://t.co/zM85y9zXhs
It was so great to see almost everyone (we missed you @nikiparmar09!!) from the Transformer paper again. We still haven't all been in the same room at the same time, but we'll make it happen one day. @lukaszkaiser @kyosu @ashVaswani @ilblackdragon @YesThisIsLion
What do you call the disparity between GPU-rich and GPU-poor? Jensen's inequality
Andrew Ng @AndrewYNg
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152 Followers 748 Following Shared opinions are my own. References to the disruption leading companies are for education & entertainment purposes. For everything else do your own research.Will Brenton @wbrenton3
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370K Followers 2 Following towards a plurality of humanity loving AGIs @openaiJeff Dean (@🏡) @JeffDean
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631K Followers 53 Following Historian and bestselling author of 'Sapiens', 'Homo Deus', '21 Lessons for the 21st Century', 'Sapiens: A Graphic History', 'Unstoppable Us', and 'NEXUS'.OpenAI @OpenAI
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66K Followers 2K Following Benevolent #AGI, #transhumanism & eurycosmos. CEO @singularitynet, @true_agi , Chair @opencog @HumanityPlus @iCog_Labs,Delighted to share our new preprint! with @AlecMarantz, @davidpoeppel and @JeanRemiKing: biorxiv.org/content/10.110… "Hierarchical dynamic coding coordinates speech comprehension in the brain" Summary below 👇 1/8
It's a bad time to be a dictator. The rise of #AI poses threats and opportunities for various people, but one thing's for sure: it can't be intimidated or terrorized. Full conversation with @ianbremmer available on bit.ly/BremmerYNH.
New work led by @harshays_ on studying how model components affect predictions! Paper link: arxiv.org/abs/2404.11534 Blog: gradientscience.org/modelcomponents
How do model components (conv filters, attn heads) collectively transform examples into predictions? Is it possible to somehow dissect how *every* model component contributes to a prediction? w/ @harshays_ @andrewilyas, we introduce a framework for tackling this question!…
We are hosting a meetup around LLMs & RAG on April 30 in SF – lu.ma/pathway-meetup. Talks by @lukaszkaiser (Co-author of Attention is All You Need) & @JChorowski (Co-author with Y Bengio and G Hinton) followed by drinks and bites (🍕 /🍺). See you there!
New findings: We just evaluated Gemini 1.5 Pro on our recent benchmark that tests the impact of context size on reasoning performance - it is much better than 1.0 in long contexts! Though still falls behind GPT4. Also, CoT prompting now improves accuracy (unlike with 1.0). (1/4)
✨Excited to finally drop our new paper: SSMs “look like” RNNs, but we show their statefulness is an illusion🪄🐇 Current SSMs cannot express basic state tracking, but a minimal change fixes this! 👀 w/ @jowenpetty, @Ashish_S_AI arxiv.org/abs/2404.08819
Gravity causes planets to orbit around their stars and bodies on Earth to fall towards the ground; however, goats seem they don't care at all.
The latest evals are in, and we’re open sourcing a GitHub repo to run popular evals on various models, including our latest GPT-4 Turbo model. Evaluating models is challenging—we’ve found this useful and want to share with the broader community. github.com/openai/simple-…
Our new GPT-4 Turbo is now available to paid ChatGPT users. We’ve improved capabilities in writing, math, logical reasoning, and coding. Source: github.com/openai/simple-…
🔥Exciting news -- GPT-4-Turbo has just reclaimed the No. 1 spot on the Arena leaderboard again! Woah! We collect over 8K user votes from diverse domains and observe its strong coding & reasoning capability over others. Hats off to @OpenAI for this incredible launch! To offer…
turbo reliably solves a math question while opus struggles, “never seen any model being so competent in solving equations”
The new GPT-4 Turbo model is the only one that could solve this math question: "Determine the sum of the y-coordinates of the four points of intersection of y = x^4 - 5x^2 - x + 4 and y = x^2 - 3x." Even Opus never gets close to the right answer
New paper out today in @NatMachIntell, where we show robust neural to speech decoding across 48 patients. nature.com/articles/s4225…
Making a music video with Sora: "this is how the song has always 'looked', it's just that now i get to show you." youtube.com/watch?v=Se93p3…
Ever wonder why we don’t train LLMs over highly compressed text? Turns out it’s hard to make it work. Check out our paper for some progress that we’re hoping others can build on. arxiv.org/abs/2404.03626 With @blester125, @hoonkp, @alemi, Jeffrey Pennington, @ada_rob, @jaschasd
We're introducing new dashboards, metrics, and integrations in the fine-tuning API to give developers more control, and adding new ways to build custom models with OpenAI. openai.com/blog/introduci…
You can now edit DALL·E images in ChatGPT across web, iOS, and Android.
We’re rolling out the ability to start using ChatGPT instantly, without needing to sign-up, so it's even easier to experience the potential of AI. openai.com/blog/start-usi…
Copied here: Zen and the Art of Research Management (with apologies to Sun Tzu), John Naughton, Robert W. Taylor 1. Hire only the very best people, even if they are cussed. Perhaps especially if they are cussed. Your guiding principle should be to employ people who are…
We're sharing our learnings from a small-scale preview of Voice Engine, a model which uses text input and a single 15-second audio sample to generate natural-sounding speech that closely resembles the original speaker. openai.com/blog/navigatin…
What do you call the disparity between GPU-rich and GPU-poor? Jensen's inequality