With #JuliaLang now part of #GoogleColab, I've created a notebook showcasing Colab-specific Julia features and data wrangling.
Perfect for #rstats & #python users wanting to experience Julia's speed and elegance.
GitHub: https://github.com/coatless-r-n-d/colab-notes/blob/main/10a-julia-colab-demo.ipynb
I don't like it very much, because, you know, Google, but you can run #py5 on #GoogleColab
https://colab.research.google.com/drive/1rI1Oav9aT6qLdvwFkN9gzzVLath2vEI_?usp=sharing
I hadn't been there for a while but i saw that inside Google Colab ( https://colab.research.google.com/ ) , you can actually use AI to generate code, very useful because you can immediately apply it.
#AI #GoogleColab #coding
I can already announce that next IC_Null stream, this tuesday at 3 PM EST, is about the #accessibility of notebooks like #Jupyter, #googleColab, the #VSCode implementation of this concept. If you do #dataScience, #machineLearning, even the polarizing #AI stuff, you are going to run into this at some point. Can a #screenReader user use these properly? Where's the #accessibility hurdles? Do any of these work better than the others? These are all things I'll try to go into.
See you Tuesday, 3 PM ESt over at https;//twitch.tv/ic_null or https://youtube.com/@blindlyCoding #selfPromo
"Running your notebooks in the cloud with google Colab"
Jessica Greene (@sleepypioneer)
The library for simple creation of chatbots that I am developing for python has a strange problem when working on #GoogleColab, namely that on my computers and laptops the model is loaded directly into RAM when executing the prompt() function, on Google Colab it looks like the model did not load for 10 minutes (suspiciously low RAM usage), after this time the normal amount of RAM is used (looks like entire model is loaded) and after a short time the text is generated.
The library is written in Rust and uses llama.cpp and rustformers llm
If anyone knows how to solve this, I will be very grateful.
Link to issue:
https://github.com/Hukasx0/ai-companion-py/issues/6
Link to the repository:
https://github.com/Hukasx0/ai-companion-py
#OpenSource #GitHub #llama2 #llama #programming #coding #rust #rustlang #typescript #llm #artificialintelligence #python #google #chatbot #chatbots
The library for simple creation of chatbots that I am developing for python has a strange problem when working on #GoogleColab, namely that on my computers and laptops the model is loaded directly into RAM when executing the prompt() function, on Google Colab it looks like the model did not load for 10 minutes (suspiciously low RAM usage), after this time the normal amount of RAM is used (looks like entire model is loaded) and after a short time the text is generated.
The library is written in Rust and uses llama.cpp and rustformers llm
If anyone knows how to solve this, I will be very grateful.
Link to issue:
https://github.com/Hukasx0/ai-companion-py/issues/6
Link to the repository:
https://github.com/Hukasx0/ai-companion-py
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