Featured

Building and Training Your Own SLM

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...

Sync Meta AI with Health Connect on Android


Meta AI’s Android app now offers direct integration with Health Connect, making it possible to sync and share health and fitness data from a variety of sources for smarter wellness insights and AI-powered recommendations. 

Why Use Health Connect with Meta AI?

Health Connect acts as a secure hub for all your health and wellness data on Android by allowing compatible apps to share information. This makes it easier for Meta AI to gather data from fitness trackers, step counters, sleep monitors, and nutrition apps, creating a more personalized user experience.

The most reliable method is to sign up to the Health Connect beta directly from the Google Play Store.
After installation, swipe down to access Android’s quick settings, and add the Health Connect shortcut tile for faster access and data management. This step ensures convenient permission management and lets you quickly check data sync status or privacy controls.


Meta AI can now read relevant health data and provide tailored assistance or summaries.


Comments