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Beijing, April 11, 2024 – ByteDance’s Doubao team has released a technical report detailing their latest reasoning model, Seed-Thinking-v1.5. This model, boasting 200 billion parameters, showcases impressive performance, surpassing DeepSeek-R1, which has a total of 671 billion parameters, across various benchmark tests.

According to the technical report, Seed-Thinking-v1.5 is a Mixture-of-Experts (MoE) model. While it possesses a total of 200B parameters, it only activates 20B parameters during operation. This efficient architecture allows the model to achieve high performance while potentially reducing computational costs.

The superior performance of Seed-Thinking-v1.5 compared to DeepSeek-R1 has sparked speculation that it is the deep thinking model currently utilized by Doubao. The model’s capabilities are particularly noteworthy considering the significantly smaller active parameter count compared to its competitor.

ByteDance recently announced the 2025 Volcano Engine Force Link AI Innovation Tour, with the first stop scheduled for Hangzhou on April 17th. The promotional material mentions the debut of a new Doubao model at the event, leading to anticipation that Seed-Thinking-v1.5 will be officially released.

The technical report, titled Seed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement Learning, provides further details on the model’s architecture, training methodology, and performance metrics.

Key Highlights of Seed-Thinking-v1.5:

  • 200B Total Parameters: A large-scale model capable of complex reasoning tasks.
  • MoE Architecture: Efficiently utilizes only 20B active parameters during operation.
  • Outperforms DeepSeek-R1: Demonstrates superior performance on various benchmarks.
  • Potential Official Release: Expected to be unveiled at the Volcano Engine AI Innovation Tour in Hangzhou on April 17th.

The release of Seed-Thinking-v1.5 marks a significant advancement in the field of AI reasoning models. Its impressive performance and efficient architecture highlight the potential of MoE models in tackling complex AI challenges. The official release of the model is highly anticipated and could have a significant impact on the development of AI applications across various industries.

Further Information:

Conclusion:

ByteDance’s Seed-Thinking-v1.5 represents a notable leap forward in AI reasoning. Its performance, particularly given its efficient architecture, suggests a promising future for MoE models. The upcoming official release will be closely watched by the AI community, as it could pave the way for new applications and advancements in the field. Future research should focus on further optimizing MoE architectures and exploring their potential in even more complex AI tasks.

References:


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