Featured

Building and Training Your Own SLM

on
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...
0

How to run Windows 7 in VirtualBox

on



Also install the extension pack for VirtualBox. Tap on new and give it a name and a directory 

Give the VM 4gb of ram and tap next 

Create a virtual hard-disk 
Tap next
If you want a bigger hard-disk in the VM choose fixed size

We are going to give it 200gb of storage space
Next, tap on settings and locate storage 

Tap the blue icon and select the windows 7 iso



Tap on start

Install windows normally. For activation please visit this website

Comments

Post a Comment