#cuda
DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall.
https://github.com/deepseek-ai/DeepEP
#rstats#book
📕
Introducción a R: aprendiendo R sin morir en el intento.
Libro, en formato web y en español, ideal para aquellos interesados en iniciar el aprendizaje de #R a partir de los tipos de datos y la programación.
🌐ES
🔗Link
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#NYR2024#RStats
🖥
Excited to have Hadley Wickham, Chief Scientist at Posit, speaking at NY R Conference 2024! Dive into the evolution of data science and discover future trends with one of the pioneers in R programming.
rstats.ai/nyr.html
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#DataScience#rstats#DataScientist#dataanalysis#r#programming#dataviz#statistics
In an era driven by data, harnessing the power of statistics is key to deriving meaningful insights from the vast sea of information around us.
pyoflife.com/statistics-wit
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#ML#datascience#rstats#programming#dataviz#stats#analytics#machinelearning
6 formas de visualizar los resultados del análisis cluster jerárquico con R
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#programming#GPT4#GPT3#dataviz#stats#analytics#ML#AI#IA
🚀
Cómo programar más rápidamente en #RStats con #ChatGPT
Escribir código es un proceso lento, especialmente cuando estás aprendiendo #datascience por primera vez. ¿Y si pudieras acelerarlo?
🔗Link
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Coupons: @freecoupons_reposcience
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