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DeepSeek-V3

DeepSeek-V3 is an open-source AI model excelling in inference speed and performance, rivaling top closed-source models in various benchmarks.

Introduction

DeepSeek-V3 is a cutting-edge open-source AI model designed for superior inference speed and competitive performance. It leverages a Mixture-of-Experts (MoE) architecture, activating 37B parameters out of a total of 671B.

Key Features:

  • High Inference Speed: Significantly faster than previous DeepSeek models.
  • Top Performance: Achieves leading scores among open-source models and rivals closed-source alternatives like GPT-4o and Claude-3.5 in several benchmarks.
  • MoE Architecture: Employs a Mixture-of-Experts architecture for efficient scaling and performance.
  • Comprehensive Benchmarking: Evaluated across a wide range of tasks, including English understanding (MMLU, DROP), code generation (HumanEval, LiveCodeBench), math problem-solving (AIME, MATH-500), and Chinese language proficiency (CLUEWSC, C-Eval).

Use Cases:

  • AI Research: Provides a powerful open-source platform for researchers to explore and advance AI capabilities.
  • Code Generation: Excels in code-related tasks, making it suitable for software development and automation.
  • Language Understanding: Demonstrates strong performance in understanding and processing both English and Chinese languages.
  • Mathematical Reasoning: Capable of solving complex mathematical problems, useful in scientific and engineering applications.

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