Understanding LLM Sampling: How Temperature, Top-K, and Top-P Shape next Word Selection in Azure OpenAI

Working with Transformer-based AI models often seems straightforward at first.You create a client—whether through an SDK or a REST call—send a prompt, and the model returns an answer.Simple. Or at least it appears that way. But very quickly, every practitioner encounters the configuration parameters exposed by these models:temperature, top_k, and top_p. Most developers are comfortable […]

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