LEARN . MICROSOFT . COM {}

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• Telecommunications
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• Technology & Computing

Content Management System {📝}

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Custom-built

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Traffic Estimate {📈}

What is the average monthly size of learn.microsoft.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


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How Does Learn.microsoft.com Make Money? {💸}

We see no obvious way the site makes money.

Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Learn.microsoft.com could be secretly minting cash, but we can't detect the process.

Keywords {🔍}

ichatclient, client, response, microsoftextensionsai, services, await, net, provide, request, messages, options, class, var, embedding, implementations, cancellationtoken, package, urihttplocalhost, chat, iembeddinggenerator, ollamasharp, history, build, libraries, interface, method, list, ratelimiter, embeddingfloat, function, methods, instance, chatoptions, ollamaapiclientnew, functionality, implementation, getresponseasync, back, foreach, public, generator, pipeline, embeddings, consolewritelineawait, message, true, llama, chatclientbuilder, calls, delegating,

Topics {✒️}

dotnet/ai-samples github repository provide rate-limiting functionality api usage examples depth usage examples public class ratelimitingembeddinggenerator strongly typed properties custom ichatclient middleware provide chat capabilities streaming chat response weakly typed manner leverages middleware provided familiar dependency injection adds opentelemetry support modular chat clients modular embedding generation net dependency injection strongly typed services higher-level utilities enable automatically invoking enable seamless integration creating chat clients opentelemetry semantic conventions fluent chatclientbuilder api chaining multiple generators unique return types asynchronously generate embeddings creating embedding generators random weather forecast provide concrete implementations multi-modal content support automatically creating embedding generation operations generative ai systems client abstraction responsible random function invocation core exchange types net rate limit dotnet package add delegating embedding generator embedding class serves return await base primary operation performed underlying provider understands useratinglimiting extension method function named getcurrentweather creating aifunction instances cache responses generative ai components delegating chat client structured output build

Questions {❓}

• ChatOptions?
• EmbeddingGenerationOptions?
• GenerateAsync(["What is AI?
• GenerateVectorAsync("What is AI?
• GetResponseAsync("What color is the sky?
• GetResponseAsync("What is AI?
• GetStreamingResponseAsync("Should I wear a rain coat?
• GetStreamingResponseAsync("What is AI?
• ModelId ?
• RateLimiter?
• User, "What is AI?
• Was this page helpful?
• What is AI?
• String[] prompts = ["What is AI?

Schema {🗺️}

BreadcrumbList:
      context:https://schema.org
      itemListElement:
            name:Learn
            position:1
            type:ListItem
            item:https://learn.microsoft.com/en-us/
ListItem:
      name:Learn
      position:1
      item:https://learn.microsoft.com/en-us/

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External Links {🔗}(16)

• How much revenue does https://go.microsoft.com/fwlink/p/?LinkID=2092881 produce monthly?
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Analytics and Tracking {📊}

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