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傅里叶级数和笛卡尔坐标系有什么共同点?其实它们几乎是同一个概念的两种表现形式。核

傅里叶级数和笛卡尔坐标系有什么共同点?其实它们几乎是同一个概念的两种表现形式。核

傅里叶级数和笛卡尔坐标系有什么共同点?其实它们几乎是同一个概念的两种表现形式。核
[人人能懂] 从并行思考、结构化学习到认知解密想知道AI如何像开“诸葛亮会”一样

[人人能懂] 从并行思考、结构化学习到认知解密想知道AI如何像开“诸葛亮会”一样

[人人能懂] 从并行思考、结构化学习到认知解密想知道AI如何像开“诸葛亮会”一样
[LG]《Per-example gradients: a new fronti

[LG]《Per-example gradients: a new fronti

[LG]《Per-example gradients: a new fronti
[CL]《Verbalized Sampling: How to Mitigat

[CL]《Verbalized Sampling: How to Mitigat

[CL]《Verbalized Sampling: How to Mitigat
[LG]《Why Can't Transformers Learn Multip

[LG]《Why Can't Transformers Learn Multip

[LG]《Why Can't Transformers Learn Multip
[LG]《Thoughtbubbles: an Unsupervised Met

[LG]《Thoughtbubbles: an Unsupervised Met

[LG]《Thoughtbubbles: an Unsupervised Met
[LG]《Rethinking Thinking Tokens: LLMs as

[LG]《Rethinking Thinking Tokens: LLMs as

[LG]《Rethinking Thinking Tokens: LLMs as
早![太阳] 早安 ​​​

早![太阳] 早安 ​​​

早![太阳] 早安 ​​​
《“The G in GPU is for Graphics damnit!”:

《“The G in GPU is for Graphics damnit!”:

《“The G in GPU is for Graphics damnit!”:
Thinking Machines 推出 Tinker——灵活强大的语言模型微调

Thinking Machines 推出 Tinker——灵活强大的语言模型微调

Thinking Machines 推出 Tinker——灵活强大的语言模型微调
[人人能懂] 从本质创造、跨界通感到无知之智本期节目,我们将潜入AI的“思想厨房

[人人能懂] 从本质创造、跨界通感到无知之智本期节目,我们将潜入AI的“思想厨房

[人人能懂] 从本质创造、跨界通感到无知之智本期节目,我们将潜入AI的“思想厨房
[CL]《TruthRL: Incentivizing Truthful LLM

[CL]《TruthRL: Incentivizing Truthful LLM

[CL]《TruthRL: Incentivizing Truthful LLM
[LG]《Towards Verified Code Reasoning by

[LG]《Towards Verified Code Reasoning by

[LG]《Towards Verified Code Reasoning by
[LG]《Learning to See Before Seeing: Demy

[LG]《Learning to See Before Seeing: Demy

[LG]《Learning to See Before Seeing: Demy
[CL]《Regression Language Models for Code

[CL]《Regression Language Models for Code

[CL]《Regression Language Models for Code
[CL]《Limited Preference Data? Learning B

[CL]《Limited Preference Data? Learning B

[CL]《Limited Preference Data? Learning B
早![太阳] 早安 ​​​

早![太阳] 早安 ​​​

早![太阳] 早安 ​​​
晚安~ [月亮] 晚安 ​​​

晚安~ [月亮] 晚安 ​​​

晚安~ [月亮] 晚安 ​​​
LoRA Without Regret:高效微调大模型的新时代当今顶尖语言模型拥

LoRA Without Regret:高效微调大模型的新时代当今顶尖语言模型拥

LoRA Without Regret:高效微调大模型的新时代当今顶尖语言模型拥
Awni Hannun分享了DeepSeek v3.2中稀疏注意力机制的简洁设计

Awni Hannun分享了DeepSeek v3.2中稀疏注意力机制的简洁设计

Awni Hannun分享了DeepSeek v3.2中稀疏注意力机制的简洁设计