MMuhammad Tahir·Oct 12Model Distillation & Quantization: Running 8B Parameter Models at a Fraction of Cloud CostThis article was originally published on Muhammad Tahir's Portfolio. Introduction & Industry Context In the production AI landscape of 2026, enterprise architectures are undergoing a decisive paradigm13 min read·mtdeveloper.hashnode.dev
LLearn with HJ·Jul 11Model Distillation: Teaching a Smaller Model the Big Model's TricksExplain distillation, cost savings, latency, domain models, and tradeoffs.6 min read·hardeepjethwani.hashnode.dev
FFabio Sarmento·Apr 27Effective Distillation Techniques for Hybrid xLSTM ArchitecturesIntroduction In today's machine learning landscape, the focus on optimizing model performance while reducing resource consumption has never been more important. As large language models (LLMs) grow in complexity and size, the demand for efficient arc...3 min read·sarmento.hashnode.dev
AAditya Gupta·Mar 28Small Language Models vs. Frontier: 3B Parameters Beat 70BSmall Language Model s vs.5 min read·adiyogiarts.hashnode.dev
