Learnings from a week of building with local LLMs
Read OriginalThe article details the author's experiences and key learnings from a week-long side project focused on building with local Large Language Models (LLMs). It covers practical evaluations of models like Gemma3 27B and Mistral, discusses the limitations of benchmarks, and advocates for an iterative 'reflect and improve' pattern to enhance output quality. It also touches on using vision models like LLaVA for image analysis.
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