#cplusplus
ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4].
https://github.com/ikawrakow/ik_llama.cpp
#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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Canal principal: @repo_science
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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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Main channel: @repo_science
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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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Main channel: @repo_science
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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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Main channel: @repo_science
Coupons: @freecoupons_reposcience
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