Exploring Next
Exploring Next — Ep 32 w/ Justy & Cody — marktechpost.com/2025/10/14/7-llm-generation-parameters-what-they-do-and-how-to-tune-them
Editors Pick Agentic AI Staff Tech News 7 LLM Generation Parameters—What They Do and How to Tune Them? By Michal Sutter - October 14, 2025 Tuning LLM outputs is largely a decoding problem: you shape the model’s next-token distribution with a handful of sampling controls— max tokens (caps response length under the model’s context limit), temperature (logit scaling for more/less randomness), top-p / nucleus and top-k (truncate the candidate set by probability mass or rank), frequency and presence penalties (discourage repetition or encourage novelty), and stop sequences (hard termination on delimiters).