AI Application

Experience the power of our AI in action

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Hello! I'm the AIevensen assistant. How can I help you today?

Hello! It's great to see you. How can I assist you with AIevensen today?

how are you today?

As an AI, I don't have feelings, but I'm functioning optimally and ready to assist you! How can I help you with AIevensen's services or answer any questions you might have?

how can i implement ai functionality?

Thank you for your interest in implementing AIevensen's AI functionality. I'll provide you with a step-by-step guide on how to set up the backend for handling AI completions using Spring Boot. This will help you create an endpoint that can process user messages and generate AI responses.

Step 1: Add Dependencies

First, ensure you have the necessary dependencies in your pom.xml file if you are using Maven:

\n\n    \n        org.springframework.boot\n        spring-boot-starter-web\n    \n    \n        com.fasterxml.jackson.core\n        jackson-databind\n    \n\n

Step 2: Create the AI Response Controller

Next, create a controller class that will handle incoming requests and generate responses:

\npackage com.example.aievensen;\n\nimport org.springframework.web.bind.annotation.*;\nimport org.springframework.http.ResponseEntity;\n\n@RestController\n@RequestMapping(\"/api\")\npublic class AIController {\n\n    @PostMapping(\"/ai_completion\")\n    public ResponseEntity getAIResponse(@RequestBody AIRequest request) {\n        String userMessage = request.getPrompt();\n        String aiResponse = generateAIResponse(userMessage);\n        return ResponseEntity.ok(new AIResponse(aiResponse));\n    }\n\n    private String generateAIResponse(String userMessage) {\n        // Your AI logic goes here. For example:\n        if (userMessage.contains(\"hello\")) {\n            return \"Hello! How can I assist you today?\";\n        } else if (userMessage.contains(\"help\")) {\n            return \"Sure! What do you need help with?\";\n        } else {\n            return \"I'm sorry, I didn't understand that. Can you please rephrase?\";\n        }\n    }\n}\n

Step 3: Create Request and Response Classes

Create two simple classes to represent the request and response:

\npackage com.example.aievensen;\n\npublic class AIRequest {\n    private String prompt;\n\n    public String getPrompt() {\n        return prompt;\n    }\n\n    public void setPrompt(String prompt) {\n        this.prompt = prompt;\n    }\n}\n\npublic class AIResponse {\n    private String response;\n\n    public AIResponse(String response) {\n        this.response = response;\n    }\n\n    public String getResponse() {\n        return response;\n    }\n}\n

Step 4: Run Your Application

Now, you can run your Spring Boot application. If you're using an IDE like IntelliJ or Eclipse, you can run it directly from there. Alternatively, if you're using the command line, navigate to your project directory and use:

\n./mvnw spring-boot:run\n

Step 5: Test the Endpoint

You can use tools like Postman or cURL to test the endpoint. Here's an example using cURL:

\ncurl -X POST http://localhost:8080/api/ai_completion \\\n     -H \"Content-Type: application/json\" \\\n     -d '{\"prompt\": \"Hello, AI!\"}'\n

Notes

AI Logic: The generateAIResponse method is currently a placeholder. You can replace it with actual AI logic or a call to an external AI service like OpenAI.
CORS: If you plan to make requests from your frontend on a different origin, consider configuring CORS in your Spring Boot application.

I hope this guide helps you set up the backend for AIevensen's AI functionality. If you have any questions or need further clarification, please don't hesitate to ask!

Hello! I'm the AIevensen assistant. How can I help you today?

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AI Capabilities

Natural language processing and understanding
Context-aware responses
Multi-turn conversations
Knowledge retrieval from vast information sources
Task completion and problem-solving assistance

GPT Engineer - What do you want to build?