parameters

Google's Gemini models are deprecating and ignoring the temperature, top_p, and top_k parameters, likely simplifying inference configuration.

A comparison showing that an untuned 27B parameter model outperforms a tuned 75B parameter model in agent tasks, highlighting potential inefficiencies in scaling and fine-tuning.

A comparison of Gemma 4 12B and 31B models shows that the smaller model retains reasoning capabilities nearly intact but suffers significant knowledge loss, making it ideal for reasoning tasks while the larger model is better for broad knowledge Q&A.

A full educational series on local LLMs, covering inference, tokens, weights, and system-level understanding for beginners and reference.