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Building and Training Your Own SLM

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Creating an independent Small Language Model (SLM) is a rewarding project that bridges the gap between deep learning theory and practical, local application. By keeping your model local, you retain full control over your data and system architecture. Below is a structured approach to building and training your own model from the ground up on a local Ubuntu environment. Before you begin, ensure your development environment is optimized for local computation. A robust setup with a capable GPU (such as an NVIDIA RTX series) and sufficient RAM is recommended for efficient training. Use Ubuntu for a stable, customizable development environment. Verify your environment with the following commands:    * Update your package lists:  sudo apt update.    * Install pip:  sudo apt install python3-pip    *I nstall necessary libraries:  pip install torch tiktoken An SLM relies on the quality of its input data. For a personal AI, curated, factual...
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upgrade unsupported Lumia to redstone 3 [1709]

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Hey there! If you have an old Windows phone lying around or if you're still using a Windows phone and want to get the latest w10 build 1709 on a Lumia Windows phone that's no longer supported for updates, just follow these steps to upgrade.

First, download the interop tools from here

No need to worry about registry providers with these interop tools. Just use the "this device" option during app setup. Make sure you have development mode enabled on your Lumia.

Next, go to the "registry browser" and make the following edits:

- HKLM\SYSTEM\Platform\DeviceTargetingInfo
    - PhoneModelName: Lumia 950 XL

- HKLM\System\Platform\DeviceTargetingInfo
    - PhoneHardwareVariant: RM-1085

- HKLM\Platform\Platform\DeviceTargetingInfo
    - PhoneManufacturerModelName: RM-1085_15217

Once you've made the edits, go ahead and check for updates. That's it!

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