- ai
- machinelearning
- datascience
- programming
- rag
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PCA (Principal Component Analysis): Finding the Hidden Structure in High-Dimensional Data
Step-by-step breakdown of Principal Component Analysis, computing covariance matrices, eigenvalues, and how to capture maximum variance in lower-dimensional spaces.
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I Built a RAG Pipeline. Then I Realized Retrieval Is the Real Model
Most RAG failures come from retrieval quality, not the language model. Here's what changed when I stopped optimizing prompts and started optimizing retrieval.
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We Let an LLM Control a File System and Run Commands – Here's What Actually Broke First
Giving an LLM tools is easy. Building guardrails that prevent destructive actions is the hard part.
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"Prompt Engineering Is Enough" Is Wrong – Here's What I Had to Add
Prompt engineering is only one layer of production AI systems. Memory, retrieval, evaluation, and orchestration matter just as much.