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中文(ZH) 刚刚,扩散模型杀进Agent主场!350亿参数,速度比Jev快一倍

Diffusion models enter agent arena with Clover-35B-A3B-Preview

Diffusion intelligence has released Clover-35B-A3B-Preview, a new diffusion language model that can perform agent tasks such as writing code, generating web pages, and calling tools. In benchmarks, Clover demonstrated significantly faster execution times and higher success rates compared to Jev and Gemini, completing tasks in half the time. The model utilizes a Mixture-of-Experts (MoE) architecture with 35 billion parameters, enabling parallel processing and improved historical information utilization for complex, multi-step operations. AI

IMPACT This development could shift agent development paradigms by leveraging diffusion models for faster and more efficient task execution.

RANK_REASON New model release from a research lab with performance claims. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on 量子位 (QbitAI) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Diffusion models enter agent arena with Clover-35B-A3B-Preview

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28 / 100
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Significant
New model release from a research lab with performance claims. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. 量子位 (QbitAI) TIER_1 中文(ZH) · henry ·

    Just now, diffusion models have entered the Agent's home turf! 35 billion parameters, twice as fast as Jev.

    用扩散模型怎么做做Agent?