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Companies with strict data privacy requirements can now build AI systems using small language models that run locally instead of sending sensitive information to cloud services like GPT or Claude. By separating different AI tasks across specialized models under 3 billion parameters—using smaller models for classification and larger ones for reasoning—organizations can create secure, on-premise AI assistants that...

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The Illustrated Transformer

This educational post explains how the Transformer neural network architecture works, breaking down its complex attention mechanisms into understandable components for machine translation tasks. The guide walks through the...

How I taught an AI to use a computer

A developer created an open-source AI agent that can control a computer by taking screenshots and using Meta's Llama 3.3 model to decide what actions to perform, such as clicking and typing to complete tasks like searching for...