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Build anything with DeepSeek V3, here’s how

#AI Tools
2025-02-10 12:009 min read

Content Introduction

In this video, David Andre demonstrates how to build applications with Deep Seek V3, highlighting its significance as an open-source AI model that surpasses closed-source alternatives like GPD 40 and CLA 3.5. He discusses its affordability, with API usage costing only $0.014 per million tokens, making it nearly free to develop applications. The presentation explores Deep Seek's architecture, its historical context in AI development, and the technical details necessary for integration into various coding environments. Viewers learn how to set up a project on the Deep Seek platform, the process for obtaining an API key, and the best practices for leveraging its capabilities in software development. Andre shares insights into the ethical implications of AI modeling, encouraging open-source practices for future advancements in AI technology.

Key Information

  • David Andre introduces Deep Seek V3, an open-source AI model that outperforms closed-source models like GPT-4 and Claude 3.5.
  • Deep Seek V3 is significant as it is the first open-source model in AI history to outperform leading closed-source models in various benchmarks.
  • The model boasts impressive performance metrics, being both cheaper and more capable than its competitors, currently priced at $0.014 per million tokens.
  • Deep Seek is a Christis AI company that has been open-sourcing its models for over a year and a half, showcasing China's growing influence in AI.
  • The video tutorial explains how to build applications using Deep Seek V3 within a platform called Cursor, demonstrating its capability through hands-on examples.
  • The architecture of Deep Seek V3 involves a mixture of expert models, providing specialized capabilities across different tasks.
  • The tutorial highlights the ease of installation and integration, showing how to set up API keys and utilize token streaming to enhance user experience.
  • Deep Seek's accessibility and affordability aim to foster innovation and productivity in AI development, making it a compelling option for developers.

Timeline Analysis

Content Keywords

David Andre

David Andre introduces the topic and purpose of the video, centered around building applications with Deep Seek V3.

Deep Seek V3

Deep Seek V3 is introduced as a groundbreaking open-source AI model, claiming to outperform closed-source models like GPD 40 and CLA 3.5 in various benchmarks while being significantly cheaper.

AI Model Benchmarks

The video highlights benchmarks where Deep Seek V3 outperforms its competitors in AI capabilities, referencing both performance and pricing.

API Interaction

The process of building an application with Deep Seek V3 includes setting up API interactions, including obtaining API keys and configuring them within the coding environment.

Programming with Deep Seek

Instructions on how to program using the Deep Seek API are provided, demonstrating how to utilize its full potential for various applications.

Embedded AI capabilities

The video discusses the embedded AI capabilities of Deep Seek, explaining how it can assist in programming and automate tasks.

Open Source Advantage

The significance of open-source in AI is emphasized, particularly how Deep Seek's openness provides extensive resources and improves development agility.

User Experience

The video addresses the importance of user experience built into applications using Deep Seek, focusing on its streamlined interaction and efficiency.

Final Integration

As the video concludes, the integration of Deep Seek into applications is demonstrated, showcasing its functionalities and how it can be effectively utilized to build AI-driven tools.

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