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💻 工业级代码实战:TransformerEncoderLayer六层堆叠完整实现(附调试技巧)
掘金 人工智能
2025-06-18T09:03:12.000000Z
transformer讲解
掘金 人工智能
2025-04-30T09:23:38.000000Z
Llama都在用的RoPE有了视频版,复旦上海AI Lab等提出长视频理解/检索绝佳拍档
量子位
2025-02-20T16:24:50.000000Z
仅缩小视觉Token位置编码间隔,轻松让多模态大模型理解百万Token!清华大学,香港大学,上海AI Lab新突破
机器之心
2025-01-15T05:47:52.000000Z
NeurIPS 2024 | 如何缓解长文本情境下的中间信息丢失问题?
PaperWeekly
2024-12-18T13:41:18.000000Z
设计位置编码
Hugging Face
2024-12-05T05:11:22.000000Z
设计位置编码
智源社区
2024-12-04T07:19:29.000000Z
HuggingFace工程师亲授:如何在Transformer中实现最好的位置编码
机器之心
2024-11-27T05:54:17.000000Z
The Transformer Family Version 2.0
Lil'Log
2024-11-09T05:43:41.000000Z
资讯 | 超越Attention:高级位置嵌入方法如何改进 Transformer 架构中的原始方法
智源社区
2024-11-02T04:23:33.000000Z
This AI Paper Reveals the Inner Workings of Rotary Positional Embeddings in Transformers
MarkTechPost@AI
2024-11-01T07:50:51.000000Z
NeurIPS 2024 | Transformer长度外推,全新位置编码DAPE大幅提升模型性能
机器之心
2024-10-12T06:11:50.000000Z
Could Brain-Inspired Patterns Be the Future of AI? Microsoft Investigates Central Pattern Generators in Neural Networks
MarkTechPost@AI
2024-09-05T07:35:13.000000Z
This AI Paper from China Proposes Continuity-Relativity indExing with gAussian Middle (CREAM): A Simple yet Effective AI Method to Extend the Context of Large Language Models
MarkTechPost@AI
2024-06-16T08:32:10.000000Z
Contextual Position Encoding (CoPE): A New Position Encoding Method that Allows Positions to be Conditioned on Context by Incrementing Position only on Certain Tokens Determined by the Model
MarkTechPost@AI
2024-06-02T11:00:59.000000Z