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DeepSeek v3

DeepSeek v3
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AI, DeepSeek, machine learning, open-source, innovation

Meet DeepSeek V3, a super impressive open-source AI model created by DeepSeek, a Chinese AI startup supported by High-Flyer Capital Management. This model is huge, with 671 billion parameters, and it has learned from a massive dataset of 14.8 trillion high-quality tokens. This makes it one of the most powerful AI models out there, giving leading AI vendors a run for their money with its innovative technology and efficiency.

Key Features

DeepSeek V3 uses a special mixture-of-experts (MoE) design. This means it activates specific parts for accurate and efficient task processing. It improves on its predecessor, DeepSeek V2, by using multi-head latent attention (MLA) and DeepSeekMoE designs. Two standout features make it really special:

  1. Auxiliary Loss-Free Load Balancing: This feature adjusts the workload on different parts to ensure balanced use without affecting overall performance.
  2. Multi-Token Prediction (MTP): This allows the model to predict multiple future tokens at once, making training more efficient and speeding up the model to generate 60 tokens per second.

Benefits

DeepSeek V3 offers several benefits, including great performance in various areas. It does well in competitive programming on Codeforces and in Aider Polyglot testing, showing an amazing ability to create new code that fits seamlessly with existing projects. Being open-source, it is accessible to everyone, making it a valuable tool for developers and researchers.

Use Cases

DeepSeek V3 can be used in many applications, including coding, reasoning, and multi-modal tasks. Its excellent performance in understanding knowledge, complex questions and answers, math reasoning, and software engineering makes it versatile for different industries.

Cost/Price

Businesses can try DeepSeek V3 through DeepSeek Chat and access the API for commercial use. The API will be available at the same price as DeepSeek V2 until February 8, 2025. After that, fees will be $0.27 per million input tokens and $1.10 per million output tokens.

Funding

DeepSeek, the company behind DeepSeek V3, is backed by High-Flyer Capital Management. The company spent only $5.5 million to train DeepSeek V3, which is much less than the cost of developing models like OpenAI''s GPT-4.

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