Category: Machine Learning
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This morning I caught myself typing: “Good morning, Chat.” Then I stopped. Who exactly am I greeting? I felt like Catweazle saying hello to his own reflection in the lake. There’s no awareness on the other side. No inner life. No “self.” And yet, the exchange feels relational. We talk to our cars. So of…
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Agency Mode refers to a system design or architecture where an AI (or automation system) operates as an independent agent — proactively taking actions on behalf of a user or organization, often across systems and workflows. It contrasts with reactive “assistant mode” AI, which only responds to prompts. Here’s a practical example: 📘 Case Study:…
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Models are a foundation tool in machine learning (which in turn is one of the foundations of AI), each model has its strengths for solving various prediction problems in real-world applications. Basic Predictive Models include Decision Tree, Random Forest, Logistic Regression, and Stacking Introduction Machine learning (ML) uses predictive models to forecast outcomes based on…