How to Build AI Application with DeepSeek-V3?

DeepSeek-V3 is the latest AI model from Chinese tech company DeepSeek, and it’s making a big impact.

It is outperforming many top AI models, proving that open-source AI can compete with paid versions.

This model is free to use, making it a cost-effective choice for developers, businesses, and AI enthusiasts.

In this article, I will show you how to use DeepSeek-V3 to create an AI-powered application and understand why it’s an excellent tool for building smart and efficient AI solutions.

Why Choose DeepSeek-V3?

DeepSeek-V3 is an open-source AI model that makes AI development simple and effective.

Here are some key reasons why it stands out:

Speed: It processes up to 60 tokens per second, making it faster than many other models. This ensures quick responses and boosts productivity.

Free to Use: Unlike many AI models that require expensive subscriptions, DeepSeek-V3 is completely free.

Easy to Set Up: Even beginners can start using it without hassle.

Scalable & Flexible: It works well for small projects and large-scale applications. Whether you need text analysis, content creation, coding, or problem-solving, DeepSeek-V3 can handle it.

Better Performance: It outperforms many proprietary models like Llama-3.1-405, GPT-4o-0513, and Claude-3.5-Sonnet-1022a.

Building an AI-powered app with DeepSeek-V3

Let’s create an application that searches the web, finds trending topics, and lists them.

We’ll go through the steps needed to set up the environment, make API calls, create AI prompts, and save the output in Markdown format.

Prerequisites

Before we begin, make sure you have:

Familiarity with the terminal or command prompt is necessary.
Ability to set environment variables on your system.
Capability to run programs using the terminal or command prompt.
Python must be installed: https://www.python.org/downloads/

Getting API Access

To use DeepSeek-V3, we will access it through Hyperbolic Labs.

Follow these steps:

1) Go to Hyperbolic Labs and create an account.

2) Click on ‘Models’ and select DeepSeek-V3.

3) Copy the API key to use in your project.

Step 1: Making API Calls

To interact with DeepSeek-V3, you need to send requests to its API.

Here’s how you set it up:

import requests
import json

url = "https://api.hyperbolic.xyz/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer <your_api_key>"
}

Replace <your_api_key> with the API key you copied from Hyperbolic Labs.

Step 2: Creating Effective AI Prompts

Prompts guide the AI in generating useful responses.

Here’s an example of a prompt that asks DeepSeek-V3 to list trending topics in AI:

data = {
    "model": "deepseek-ai/DeepSeek-V3",
    "messages": [
        {"role": "user", "content": "List the top trending topics in Generative AI, including new applications, advancements, and ethical concerns."}
    ],
    "max_tokens": 2048,
    "temperature": 0.1,
    "top_p": 0.9
}

• max_tokens: Limits the response to 2048 tokens.
• temperature: A lower value (0.1) ensures more structured and predictable responses.
• top_p: Controls the diversity of responses by limiting options to the most likely words.

Step 3: Sending the Request and Getting a Response

Now, we send the request and get a response:

response = requests.post(url, headers=headers, data=json.dumps(data))
if response.status_code == 200:
    result = response.json()
    print(result["choices"][0]["message"]["content"])
else:
    print("Error:", response.status_code, response.text)

Step 4: Saving Output in Markdown Format

We can save the AI’s response in a Markdown file for easy access:

with open("gen_ai_topics.md", "w", encoding="utf-8") as file:
    file.write(result["choices"][0]["message"]["content"])
print("Output saved successfully!")

Conclusion

DeepSeek-V3 is a powerful, open-source AI model that offers high speed, flexibility, and efficiency at no cost.

It’s a great tool for developers, students, and businesses looking to integrate AI into their applications.

By following this guide, you can start building AI-powered apps quickly and efficiently.

As AI technology continues to evolve, DeepSeek-V3 is proving to be a valuable resource for AI development.

Want to build an RAG System using DeepSeek? Checkout our RAG System building Guide using DeepSeek today!