3/ Version control for ML models https://
analyticsindiamag.com/version-contro
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CODE
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2/ Git and GitHub by HubSpot https://
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Git and GitHub a must-learn for any data scientist or ML engineer Here are the TOP 5 resources you can leverage to your advantage A
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To do outbound efficiently, I built our CRM from scratch. This was in 2020, No Code was growing and I wanted to learn more, so decided to go full “no code stack.” Mid-pandemic, a bit lonely, so was live-tweeting my builds.
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Human Data vs Synthetic: Instructions Matter More Than Outputs
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This idea of generating data from seeds sounds wrong: it creates lower quality data than human conversations. I think a better approach would be to retro-engineer humanly written text to get instructions. The main question is are instructions more important than outputs? #llama
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Hugging Face Spaces activation issue encountered
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We tried activating it on @huggingface Spaces but it broke my brain too
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Task Serialization Enables Parallel Processing in AI Workflows
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Sorry to jump in from the side, but if we can do task serialization (do this task before this), we could use logic to run tasks in parallel that doesn’t require a previous step. (Slightly abbreviated for Twitter but hopefully makes sense)
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SQL Cheat-Sheet for Data Science and Big Data Analytics
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