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青山
ai-box
Commits
f6659dfd
Commit
f6659dfd
authored
May 31, 2025
by
fisherdaddy
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chore: bug fix
parent
8e2d549d
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deepseek-releases.json
src/data/deepseek-releases.json
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src/data/deepseek-releases.json
View file @
f6659dfd
...
@@ -115,13 +115,13 @@
...
@@ -115,13 +115,13 @@
},
},
{
{
"date"
:
"2025-04-30"
,
"date"
:
"2025-04-30"
,
"title"
:
"DeepSeek-Prover-V2"
,
"title"
:
"DeepSeek-Prover-V2
发布
"
,
"feature"
:
"DeepSeek 推出了 DeepSeek-Prover-V2,一个用于 Lean 4 形式化定理证明的开源大语言模型。模型训练始于一个“冷启动”阶段,利用 DeepSeek-V3 通过递归证明流程生成初始数据,整合了非形式化推理(如思路链)和形式化证明步骤。随后通过强化学习进一步提升性能。DeepSeek-Prover-V2 在神经定理证明领域达到 SOTA 水平,特别是在 MiniF2F-test 上实现了 88.9 % 的通过率,并解决了 PutnamBench 中的 49 个问题。发布了两个尺寸的模型: 7B 和 671B 参数,可通过 Hugging Face Transformers 使用。"
,
"feature"
:
"DeepSeek 推出了 DeepSeek-Prover-V2,一个用于 Lean 4 形式化定理证明的开源大语言模型。模型训练始于一个“冷启动”阶段,利用 DeepSeek-V3 通过递归证明流程生成初始数据,整合了非形式化推理(如思路链)和形式化证明步骤。随后通过强化学习进一步提升性能。DeepSeek-Prover-V2 在神经定理证明领域达到 SOTA 水平,特别是在 MiniF2F-test 上实现了 88.9 % 的通过率,并解决了 PutnamBench 中的 49 个问题。发布了两个尺寸的模型: 7B 和 671B 参数,可通过 Hugging Face Transformers 使用。"
,
"description"
:
"HuggingFace地址:https://huggingface.co/deepseek-ai/DeepSeek-Prover-V2-671B"
"description"
:
"HuggingFace地址:https://huggingface.co/deepseek-ai/DeepSeek-Prover-V2-671B"
},
},
{
{
"date"
:
"2025-05-29"
,
"date"
:
"2025-05-29"
,
"title"
:
"DeepSeek-
Prover-V2
"
,
"title"
:
"DeepSeek-
R1-0528 发布
"
,
"feature"
:
"DeepSeek-R1-0528 发布:推理与理解能力显著增强,性能逼近顶尖模型,例如 O3 和 Gemini 2.5 Pro。另外,还降低了生成“幻觉”(即不真实信息)的概率,增强了对函数调用的支持,优化了“写代码”(vibe coding)的体验。"
,
"feature"
:
"DeepSeek-R1-0528 发布:推理与理解能力显著增强,性能逼近顶尖模型,例如 O3 和 Gemini 2.5 Pro。另外,还降低了生成“幻觉”(即不真实信息)的概率,增强了对函数调用的支持,优化了“写代码”(vibe coding)的体验。"
,
"description"
:
"HuggingFace地址:https://huggingface.co/deepseek-ai/DeepSeek-R1-0528"
"description"
:
"HuggingFace地址:https://huggingface.co/deepseek-ai/DeepSeek-R1-0528"
}
}
...
...
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