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强化学习在生成式预训练语言模型中的研究现状简单调研

人工智能强化学习模型数据优化

本文旨在深入探讨强化学习在生成式预训练语言模型中的应用，特别是在对齐优化、提示词优化和经验记忆增强提示词等方面的具体实践。通过对现有研究的综述，我们将揭示强化学习在提高生成式语言模型性能和人类对话交互的关键作用。虽然这些应用展示了巨大的潜力，但也将讨论现有方法的挑战和可能的未来发展方向。

2024-01-10

2730

强化学习Double DQN方法玩雅达利Breakout游戏完整实现代码与评估pytorch

模型游戏强化学习 pytorch double

Breakout是一款经典的雅达利游戏，也就是我们所熟知的“打砖块”。玩家需要左右移动在屏幕下方的短平板子将一颗不断弹跳的小球反弹回屏幕上方，使其将一块块矩形砖块组成的六行砖块墙面打碎，并防止小球从屏幕底部掉落。在Atari 2600版本的Breakout中，玩家共有5次小球掉落机会，一旦用完就标志游戏结束，每打掉一块砖块得1分，全部打掉则游戏胜利结束。

2024-01-10

3950

论文复现 | Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

detection series time 论文数据

初始条件介绍和必要准备工作，代码来自https://github.com/thuml/Anomaly-Transformer，论文数据来自作者提供的Google Cloud

2023-12-24

7781

阅读笔记 | Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning

cloud dp model privacy 笔记

The paper argue that the efficiency and data privacy of Federated Learning are non-orthogonal from the perspective of model training, which means they are restricting each other. So that the paper strictly formulates the problem at first, and designs a cloud-edge-end hierarchical FL system with adaptive control algorithm embedding a two-level Differential Protection method to relieve both the resource and privacy concerns. The design follows the following ideas:

2023-11-29

1130

OpenCloudOS | yum源配置

yum https key tree 配置

2023-10-31

5910

阅读笔记｜Life on the Edge: Unraveling Policies into Configurations

edge 笔记编译器配置网络

info: W. X. Zhao et al., “A Survey of Large Language Models.” arXiv, Sep. 11, 2023. Accessed: Sep. 18, 2023. [Online]. Available: http://arxiv.org/abs/2303.18223

2023-10-29

1130

阅读笔记｜SIMPLE-fying Middlebox Policy Enforcement Using SDN

sdn policy using 笔记网络

info: Qazi, Zafar Ayyub, Rui Miao, Cheng-Chun Tu, Vyas Sekar, Luis Chiang, and Minlan Yu. “SIMPLE-Fying Middlebox Policy Enforcement Using SDN,” n.d.

2023-10-29

1090

阅读笔记｜P4: programming protocol-independent packet processors

packet 笔记交换机协议重构

info: Bosshart, Pat, Dan Daly, Glen Gibb, Martin Izzard, Nick McKeown, Jennifer Rexford, Cole Schlesinger, et al. “P4: Programming Protocol-Independent Packet Processors.” ACM SIGCOMM Computer Communication Review 44, no. 3 (July 28, 2014): 87–95. https://doi.org/10.1145/2656877.2656890.

2023-10-29

1700

阅读笔记｜Verifying and Monitoring IoTs Network Behavior Using MUD Profiles

behavior monitoring network using 笔记

info: A. Hamza, D. Ranathunga, H. H. Gharakheili, T. A. Benson, M. Roughan, and V. Sivaraman, “Verifying and Monitoring IoTs Network Behavior Using MUD Profiles,” IEEE Trans. Dependable and Secure Comput., vol. 19, no. 1, pp. 1–18, Jan. 2022, doi: 10.1109/TDSC.2020.2997898.

2023-10-15

1110

阅读笔记｜Attention Is All You Need

笔记翻译连接模型数据

info: A. Vaswani et al., “Attention Is All You Need,” 2017, doi: 10.48550/ARXIV.1706.03762.

2023-10-15

2450

阅读笔记｜Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills

强化学习笔记工作算法优化

info: T. Benson, A. Akella, and D. A. Maltz, “Mining policies from enterprise network configuration,” in Proceedings of the 9th ACM SIGCOMM conference on Internet measurement, Chicago Illinois USA: ACM, Nov. 2009, pp. 136–142. doi: 10.1145/1644893.1644909.

2023-10-15

1750

阅读笔记｜Language Models are Few-Shot Learners

models 笔记测试模型数据

info: T. B. Brown et al., “Language Models are Few-Shot Learners,” 2020, doi: 10.48550/ARXIV.2005.14165.

2023-10-15

2750

阅读笔记｜A Survey of Large Language Models

models survey 笔记模型数据

info: W. X. Zhao et al., “A Survey of Large Language Models.” arXiv, Sep. 11, 2023. Accessed: Sep. 18, 2023. [Online]. Available: http://arxiv.org/abs/2303.18223

2023-10-15

2980

阅读笔记｜Mining policies from enterprise network configuration

configuration enterprise network 笔记网络

info: T. Benson, A. Akella, and D. A. Maltz, “Mining policies from enterprise network configuration,” in Proceedings of the 9th ACM SIGCOMM conference on Internet measurement, Chicago Illinois USA: ACM, Nov. 2009, pp. 136–142. doi: 10.1145/1644893.1644909.

2023-10-15

1060

阅读笔记｜The evolution of network configuration: a tale of two campuses

configuration network 笔记配置网络

info: H. Kim, T. Benson, A. Akella, and N. Feamster, “The evolution of network configuration: a tale of two campuses,” in Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference, Berlin Germany: ACM, Nov. 2011, pp. 499–514. doi: 10.1145/2068816.2068863.

2023-10-15

1360

阅读笔记｜DeepConfig: Automating Data Center Network Topologies Management with Machine Learning

center data network 笔记网络

info: C. Streiffer, H. Chen, T. Benson, and A. Kadav, “DeepConfig: Automating Data Center Network Topologies Management with Machine Learning.” arXiv, Dec. 11, 2017. Accessed: Aug. 06, 2023. [Online]. Available: http://arxiv.org/abs/1712.03890

2023-10-15

1310

阅读笔记｜Demystifying configuration challenges and trade-offs in network-based ISP services

configuration network 笔记配置网络

info: T. Benson, A. Akella, and A. Shaikh, “Demystifying configuration challenges and trade-offs in network-based ISP services,” in Proceedings of the ACM SIGCOMM 2011 conference, Toronto Ontario Canada: ACM, Aug. 2011, pp. 302–313. doi: 10.1145/2018436.2018471.

2023-10-15

1470

阅读笔记｜Efficient and Safe Network Updates with Suffix Causal Consistency

network updates 笔记配置网络

info: S. Liu, T. A. Benson, and M. K. Reiter, “Efficient and Safe Network Updates with Suffix Causal Consistency,” in Proceedings of the Fourteenth EuroSys Conference 2019, Dresden Germany: ACM, Mar. 2019, pp. 1–15. doi: 10.1145/3302424.3303965.

2023-10-15

900

阅读笔记 | Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

edge network 笔记模型优化

info: E. Li, L. Zeng, Z. Zhou, and X. Chen, “Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing,” IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 447–457, Jan. 2020, doi: 10.1109/TWC.2019.2946140.

2023-10-15

1830

阅读笔记 | Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

cloud edge survey 笔记模型

info: J. Yao et al., “Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI,” IEEE Trans. Knowl. Data Eng., pp. 1–1, 2022, doi: 10.1109/TKDE.2022.3178211.

2023-10-15

3463

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