Running LLMs Locally: Overconditioning, Right-Sizing, and Multi-Pass Pipelines
A practical look at running LLMs as system components rather than assistants. Based on processing thousands of ASR transcripts, this article covers prompt overconditioning, model right-sizing, local execution tradeoffs, and why multi-pass pipelines with validation outperform single, all-in-one prompts.
January 18, 2025 • 7 min read • LLM Systems, Prompt Engineering, Machine Learning Engineering
