This interactive explainer from @madhumita29 & the team at FT about how transformers work is absolutely brilliant. Clear and informative. Required reading. https://
ig.ft.com/generative-ai/
RESEARCH
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Brilliant Interactive Explainer on How Transformers Work
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Explanation of backpropagation: max function implements NAND gates
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This explanation was kind of polarising — some people found it pointlessly abstruse, others found it worked for them when others didn't: https://
thinc.ai/docs/backprop1
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… If you get down to the bit with the two tables, it explains how a max function can implement nand, while a linear -
AI Boosts IVF Success Rates by 30 Percent
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@GilboaDaniella
's team at @AiVFtech are using AI to supercharge IVF – increasing the odds of a healthy pregnancy odds by 30% this is the kind of innovation with AI that's leading the path to a new age in medicine – truly incredible work -
Coming Wave discussion: practical containment work for AI
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I had a great time talking at @ustwo about The Coming Wave… There’s no time for skeptics! We have practical containment work to do 🙂 Summary in thread…
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Intel Innovation 2026: Discover Breakthrough Tech Research
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🚀 Calling all Developers and Tech Enthusiasts! 🤓
— Helen Yu (@YuHelenYu) 13 septembre 2023
Get ready to geek out and dive into the future of tech research at Intel Innovation in San Jose, CA or virtually on Sept 19-20. 🌐
Mix with peers & learn from industry giants unveiling groundbreaking innovations!
Excited about… pic.twitter.com/3GdHW2QNjXCalling all Developers and Tech Enthusiasts! Get ready to geek out and dive into the future of tech research at Intel Innovation in San Jose, CA or virtually on Sept 19-20. Mix with peers & learn from industry giants unveiling groundbreaking innovations! Excited about
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FSD12 and Evolution of Machine Learning in Autonomous Driving
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FSD12 seems like a significant advance but surely it isn’t quite right to say that all previous systems have been rule based. There’s a lot of ML in previous systems, and there have even been end-to-end ones, like Nvidia’s early demo, right? Still, amazing if it works reliably.
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Google Maps Improves Route Suggestions Using Inverse Reinforcement Learning
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Presenting world-scale inverse reinforcement learning (IRL) in Google Maps. Learn how RHIP, a new IRL algorithm, along with advances in graph compression & parallelization led to relative improvement in the quality of suggested routes in Google Maps. → https://
goo.gle/3EBAc75 -
Open LLM Leaderboard benchmarks collection launched
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If you find this work interesting, please join our Discord channel to ask questions and discuss. https://
discord.gg/8z2Pe7cpRv Also, thank you to @Thom_Wolf for help on setting up the leaderboard at: The Big Benchmarks Collection: https://
huggingface.co/collections/op
en-llm-leaderboard/the-big-benchmarks-collection-64faca6335a7fc7d4ffe974a
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Open-Source LLMs Become Effective Tool Manipulators
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Find the paper on @arxiv at https://
arxiv.org/abs/2305.16504 and more details on our blog at https://
sambanova.ai/blog/enabling-
open-source-llms-to-become-effective-tool-manipulators/
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