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Insights Flow

08-05

论文阅读[精读]-Llama 2: Open Foundation and Fine-Tuned Chat Models(下)

07-31

论文阅读[精读]-Llama 2: Open Foundation and Fine-Tuned Chat Models(上)

07-29

从Flowformer探讨Attention的线性复杂度

07-23

论文阅读[粗读]-Meta-Transformer: A Unified Framework for Multimodal Learning

07-20

论文阅读[粗读]-Retentive Network: A Successor to Transformer for Large Language Models

07-05

论文阅读[精读]-Let’s Verify Step by Step

06-30

论文阅读[粗读]-Extending Context Window of Large Language Models via Position Interpolation

06-16

论文阅读[粗读]-Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

05-10

论文阅读[精读]-RRHF: Rank Responses to Align Language Models with Human Feedback without tears

05-05

论文阅读[粗读]-Are Emergent Abilities of Large Language Models a Mirage?