Data Science

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Joined 2 years ago
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Cake day: June 17th, 2023

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  • ericjmoreytoProgrammingGit without a forge
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    2 months ago

    Introduction

    I’ve written quite a lot of free software in my life. Most of it was from scratch: projects I started myself. So I get to choose where to host them – or rather, I have to choose where to host them.

    These days, all my projects are held in Git. And mostly, I put them in ‘bare’ git repositories on my personal website.

    I don’t use any git ‘forge’ system layered on top of Git, like Gitlab or Github, which automatically makes a bug tracking database for each project, and provides a convenient button for a user to open a merge request / pull request. I just use plain Git. People can ‘git clone’ my code, and there’s a web-based browsing interface (the basic gitweb) for looking around without having to clone it at all. But that’s all the automated facilities you get.

    Occasionally this confuses people, so I thought I should write something about it.

    Discussion with the author @ https://hachyderm.io/@simontatham/114111520633445984
















  • From the article:

    DeepSeek-R1 release leaves open several questions about:

    • Data collection: How were the reasoning-specific datasets curated?
    • Model training: No training code was released by DeepSeek, so it is unknown which hyperparameters work best and how they differ across different model families and scales.
    • Scaling laws: What are the compute and data trade-offs in training reasoning models?

    These questions prompted us to launch the Open-R1 project, an initiative to systematically reconstruct DeepSeek-R1’s data and training pipeline, validate its claims, and push the boundaries of open reasoning models. By building Open-R1, we aim to provide transparency on how reinforcement learning can enhance reasoning, share reproducible insights with the open-source community, and create a foundation for future models to leverage these techniques.

    In this blog post we take a look at key ingredients behind DeepSeek-R1, which parts we plan to replicate, and how to contribute to the Open-R1 project



  • It’s all about your organization’s size and if the organization makes use of the Anaconda controlled defaults channel. I’m not a lawyer, but your company may be liable for some licensing fee if your company is using Anaconda’s repository of binaries. You’d need to consult with an actual lawyer for more reliable assessment of your potential liability.

    Switch to using miniforge and the conda-forge channel when installing and using Conda.