When teams first get started with Azure AI Search, everything feels incredibly intuitive.You create an index, push some documents, run a query, and—boom—you get results.Simple. Or at least it appears that way. But very quickly, anyone building real search experiences discovers that users never search the way you expect them to.They type shortcuts.They use internal […]
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 […]
Prompt Engineering
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