Tokens are a function of how optimized your tokenization system is, as well as your embeddings. Therefore, new breakthroughs can emerge that don't require an enormous amount of GPU power. Sam needs money to create his own chips and scale up more quickly. We've seen that Sora's
COMPUTING
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Metaverse Games Technology Enables 40,000 Simultaneous Players
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#Metaverse Games With 40,000 Players in the Same Space? The Tech Is Coming (via @decryptmedia
) https://
decrypt.co/218189/metaver
se-games-40000-players-tech-coming
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Indian Navy Embraces Digital Metaverse for Naval Operations
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VizExperts Introduces the Naval #Metaverse : The Indian Navy's Digital Future https://
mybs.in/2dTaNQb -
101 Data Science Cheat Sheets for ML DL and Programming
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101 #DataScience Cheat Sheets for #DataScientists and other #coding / #algorithm / data lovers (#MachineLearning, #DeepLearning, Scraping, #Python, R / #Rstats, #SQL, #Mathematics & #Statistics): https://
medium.com/@anushka.datas
coop/101-data-science-cheat-sheets-ml-dl-scraping-python-r-sql-maths-statistics-ef30b4d786eb
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Hands-On Introduction to Machine Learning Fundamentals
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Hands-On Introduction to #MachineLearning: https://
amzn.to/497o4bP ————
#NeuralNetworks #BigData #Analytics #DataScience #DataScientists #AI #DeepLearning #Coding #Rstats #Python #ML -
Kaggle Workbook: Self-Learning Exercises Data Science
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the companion book: “The #Kaggle Workbook: Self-Learning Exercises and Valuable Insights for @Kaggle #DataScience Competitions": http://
amzn.to/41jKa7r by @tng_konrad and @LucaMassaron ——————
#BigData #DataScientists #AI #DeepLearning #ML #MachineLearning #Python #Coding -
Faster Model Serving Supercharges AI Reflection Capabilities
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Nice! Reflection is going to be super charged when models are served much faster / groqed
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Google Gemma Launch Partner Delivers Optimized LLM Desktop Models
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Announced today, we are collaborating as a launch partner with @Google in delivering Gemma, an optimized series of models that gives users the ability to develop with #LLMs using only a desktop #RTX GPU.
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Cascade Speculative Drafting Accelerates LLM Inference Speed
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Cascade Speculative Drafting for Even Faster LLM Inference Chen et al.: https://
arxiv.org/abs/2312.11462 #ArtificialIntelligence #DeepLearning #MachineLearning -
Google Gemma 2B 7B Models Optimized NVIDIA TensorRT-LLM
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Google’s newly announced Gemma 2B and 7B models, optimized with NVIDIA TensorRT-LLM – allows developers the ability to optimize inference performance across NVIDIA AI platforms, from the datacenter to local PCs with RTX GPUs: https://
nvda.ws/48psSb5