I am having discussions with them — there are some straightforward pixel quality improvements that can be made, but the big questions about depth estimation and inpainting trade offs are contentious.
AI
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GroqChip: Superior Performance, Efficiency and Cost vs GPU
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Performance, efficiency, speed & accuracy are packed into GroqChip™–the basis of the Groq LPU™ system–which is simpler in design and layout than a Graphics Processing Unit (GPU), faster than a GPU, and less expensive than a GPU. Stop by booth #168 at #SC23 to see for yourself.
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Community Normalization Drives Interesting Innovation Adoption
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"Most people don't do interesting things, unless they're in a community where that thing is normalized" – @slatestarcodex I found this extremely truthy and triggered some correlaries that I don't see talked about much:
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GPT-4 Training Data Transparency: YouTube and Propaganda Sources
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list out all the user data and internet data the model was trained on. Is GPT4 trained on Youtube? On propaganda videos specifically? That's the kind of transparency that will be strictly useful
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FP8 Training Advances for Large Language Models
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FP8-LM: Training FP8 Large Language Models Peng et al.: https://
arxiv.org/abs/2310.18313 #Artificialintelligence #ChatGPT #LargeLanguageModels -
AI Executive Order Drives Transparency and Government Regulation
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The AI Executive Order is here, for better or worse.
(my thoughts further below) It directs the government to move AI towards transparency, adding bureaucracy, process and standards, increasing R&D funding and directing fairly sweeping policy changes across a wide range of -
White House Executive Order on AI Research and NAIRR Initiative
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Interested in learning more about the new @WhiteHouse Executive Order on AI? Join us tomorrow, Oct 31, for a timely discussion on the EO's directive to catalyze AI research through the National AI Research Resource (NAIRR). @kingjen @Rbaltman @drfeifei https://
hai.stanford.edu/events/unlocki
ng-public-sector-ai-innovation-next-steps-national-ai-research-resource
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Regulate AI Deployments Not R&D Compute Thresholds
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Yes. Regulate end product deployments.
Don't regulate R&D with an arbitrary compute or mode size threshold. -
PyTorch Updates Featured in TheAlphaSignal Newsletter
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Will you share what's new for Pytorch from those videos in more detail in the @TheAlphaSignal newsletter? 😀
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AI Personalizing Education: Adaptive Learning Experiences
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AI in Education: Personalizing the Learning Experience https://
linkedin.com/pulse/ai-educa
tion-personalizing-learning-experience-nicolas-babin-0kk3f
… #ArtificialIntelligence #education #experience #innovation #technology @Shi4Tech @TerenceLeungSF @Fabriziobustama @enricomolinari @RagusoSergio @thierry_pires @AnthonyRochand @IsabellePiel29 @enilev