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.NET 9 with OpenAI Complete Guide with Real time Project

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Description: Introduction to OpenAI and ASP.NET Core 9Key Models and Capabilities Provided by OpenAIWhy Use OpenAI with ASP.NET Core 9? Benefits of Integrating AI Capabilities in Web ApplicationsSetup Requirements: Understanding How OpenAI API Works, Including Obtaining API Keys and AuthenticationMaking Text Requests to OpenAICreating Chat-Based Applications: Sending prompts to the API and generating text (simple Q&A bot, content generation, etc.).Using IChatCompletionService: Integrating OpenAI's chat completion models like GPT-4 into your ASP.NET application.Displaying AI-generated results: Rendering the output in an MVC view. Handling Advanced Text Generation TasksText summarization: Using OpenAI for summarizing large pieces of text.Text Classification: Sending data for text classification tasks.Sentiment Analysis: Analyzing the sentiment of user-submitted text using OpenAI.Generating Structured Data (Tables): Asking OpenAI to return results in specific formats (e.g., HTML tables, JSON). Image Handling and Generation with OpenAIIntroduction to DALL·E: Understanding how OpenAI’s DALL·E model can generate images based on text descriptions.Integrating Image Generation: Using the OpenAI API to generate images (like product images or artwork) in response to queries.Image Upload and Analysis: Sending images to OpenAI for analysis (multimodal queries like GPT-4 Vision). Dynamic Responses Based on User InputUnderstanding Dynamic Responses: Crafting prompts that request specific, structured responses from OpenAI.Creating Custom AI Responses: Handling a variety of user queries dynamically (e.g., sales data, trend analysis).Generating HTML from OpenAI: Instructing OpenAI to generate HTML (tables, charts) in response to queries.Using AI to Generate Structured Content: Formatting AI’s response into structured data, like HTML or CSV.Managing Large Datasets with OpenAIChun
Category: Development > Web Development > Artificial Intelligence (AI)
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Price: 29.99
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