Tag: fine-tuning
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The Regression Paradox: A Case Study on the Failure of Protocol-Based AI Alignment
A Field Report from the ResonantOS Project In systems engineering, progress is typically assumed to be iterative and cumulative. Increased complexity and the addition of robust protocols should, in theory, lead to a more capable and reliable system. Our recent work with the Resonant Partner, a sophisticated AI agent built on a frontier-class Large Language…
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How AI Gains Knowledge: Retraining vs Fine-Tuning vs RAG vs Context Docs – Which One Works Best?
Ever Wondered How AI Stays Up to Date? Artificial Intelligence doesn’t magically know everything—it learns through different methods. Whether it’s a full knowledge overhaul, a quick update, or an on-the-fly retrieval, each method has strengths and weaknesses. Today, we’ll explore Retraining, Fine-Tuning, Retrieval-Augmented Generation (RAG), and Context Documents (Context Docs). 1. Retraining – The Full…